交叉验证
#51
王
王佳陆
学历-经验时间线
gap_years
7
timeline_ok
否
graduation_year
2026
years_experience
7
estimated_work_start
2019
expected_graduation_start
2048
技能-项目一致性
得分
75
声称技能 (25)
C
C++
Linux
ROS
OpenCV
Pytorch
Mask R-CNN
ONNX Runtime
MMDetection
CnOcr
多线程
Python
LabVIEW
PID控制
传感器数据融合
C语言程序设计
串级PID控制
陀螺仪数据解算
电磁循迹
数据结构与算法
深度学习框架
嵌入式设备部署
32位ARM单片机
51单片机
UART
项目中验证 (9)
ROS
LabVIEW
电磁循迹
话题通信
多线程
32位ARM单片机
C
CnOcr
PID控制
仅在摘要中 (10)
C
C++
Linux
ROS
OpenCV
Pytorch
Mask R-CNN
ONNX Runtime
LabVIEW
51单片机
无证据 (14)
MMDetection
CnOcr
Python
PID控制
传感器数据融合
C语言程序设计
串级PID控制
陀螺仪数据解算
数据结构与算法
深度学习框架
嵌入式设备部署
32位ARM单片机
坐标变换
建模软件
矛盾/可疑信号
skill_project_gap
high
14/32 个声称技能在项目和摘要中均无体现: ['MMDetection', 'CnOcr', 'Python', 'PID控制', '传感器数据融合', 'C语言程序设计', '串级PID控制', '陀螺仪数据解算']
建议：面试时验证这些技能的真实性
timeline_anomaly
medium
毕业2026年，经验7.0年，推算开始工作年份与预期毕业年份偏差7年
建议：核实是否有中断、转行或教育经历不完整
完整原始数据
{
"id": 51,
"mysql_resume_id": 84,
"screening_id": 51,
"skill_project_consistency": {
"noisy_skills": [],
"claimed_skills": [
"C",
"C++",
"Linux",
"ROS",
"OpenCV",
"Pytorch",
"Mask R-CNN",
"ONNX Runtime",
"MMDetection",
"CnOcr",
"多线程",
"Python",
"LabVIEW",
"PID控制",
"传感器数据融合",
"C语言程序设计",
"串级PID控制",
"陀螺仪数据解算",
"电磁循迹",
"数据结构与算法",
"深度学习框架",
"嵌入式设备部署",
"32位ARM单片机",
"51单片机",
"UART"
],
"consistency_score": 75,
"skills_in_summary_only": [
"C",
"C++",
"Linux",
"ROS",
"OpenCV",
"Pytorch",
"Mask R-CNN",
"ONNX Runtime",
"LabVIEW",
"51单片机"
],
"skills_without_evidence": [
"MMDetection",
"CnOcr",
"Python",
"PID控制",
"传感器数据融合",
"C语言程序设计",
"串级PID控制",
"陀螺仪数据解算",
"数据结构与算法",
"深度学习框架",
"嵌入式设备部署",
"32位ARM单片机",
"坐标变换",
"建模软件"
],
"skills_verified_in_projects": [
"ROS",
"LabVIEW",
"电磁循迹",
"话题通信",
"多线程",
"32位ARM单片机",
"C",
"CnOcr",
"PID控制"
]
},
"education_timeline": {
"gap_years": 7,
"timeline_ok": false,
"graduation_year": 2026,
"years_experience": 7,
"estimated_work_start": 2019,
"expected_graduation_start": 2048
},
"salary_location_check": null,
"skill_level_contradictions": null,
"overall_consistency": 60,
"flags": [
{
"type": "skill_project_gap",
"detail": "14\/32 个声称技能在项目和摘要中均无体现: ['MMDetection', 'CnOcr', 'Python', 'PID控制', '传感器数据融合', 'C语言程序设计', '串级PID控制', '陀螺仪数据解算']",
"severity": "high",
"suggested_check": "面试时验证这些技能的真实性"
},
{
"type": "timeline_anomaly",
"detail": "毕业2026年，经验7.0年，推算开始工作年份与预期毕业年份偏差7年",
"severity": "medium",
"suggested_check": "核实是否有中断、转行或教育经历不完整"
}
],
"created_at": "2026-06-29T10:06:34.000000Z",
"resume": {
"id": 84,
"resource_id": 84,
"source_text_sha256": "5c2ca9c5502271b2e80d453ce6399d53ca8d006219cc945cdbe41fcdf9ada1ae",
"target_role": "C++",
"candidate_name": "王佳陆",
"age": 24,
"phone": "13912889551",
"email": "1491913682@qq.com",
"wechat": "Astarte_M",
"location": "江苏南京江宁区",
"highest_degree": "硕士",
"school": "南京航空航天大学",
"major": "电子信息",
"graduation_year": 2026,
"years_experience": 7,
"current_company": "",
"current_title": "",
"skills_json": [
"C",
"C++",
"Linux",
"ROS",
"OpenCV",
"Pytorch",
"Mask R-CNN",
"ONNX Runtime",
"MMDetection",
"CnOcr",
"多线程",
"Python",
"LabVIEW",
"PID控制",
"传感器数据融合",
"C语言程序设计",
"串级PID控制",
"陀螺仪数据解算",
"电磁循迹",
"数据结构与算法",
"深度学习框架",
"嵌入式设备部署",
"32位ARM单片机",
"51单片机",
"UART",
"IIC",
"SPI",
"话题通信",
"坐标变换",
"AutoCAD",
"Proe",
"建模软件"
],
"summary": "王佳陆，男，24岁，居住地江苏南京江宁区，中共党员。南京航空航天大学电子信息硕士在读，预计2026年毕业，本科为南京航空航天大学金城学院机械电子工程。项目经历包括双目视觉电网设备部件识别定位、直升机仪表盘字符识别、医护机器人、智能车竞赛电单车。技能包括C\/C++、Linux、ROS、OpenCV、Pytorch、Mask R-CNN、ONNX Runtime、ARM\/51单片机、UART\/IIC\/SPI、LabVIEW、AutoCAD、Proe。",
"raw_text_path": "\/opt\/ai-recruiter-demo\/resume_resources\/2026\/06\/be44fee4e9f3cef8_raw.txt",
"raw_text_url": "http:\/\/39.102.63.164\/resources\/resumes\/2026\/06\/be44fee4e9f3cef8_raw.txt",
"parser_version": "resume-parser-v1.1+codex",
"llm_used": true,
"created_at": "2026-06-29T07:58:14.000000Z",
"updated_at": "2026-06-29T12:57:02.000000Z",
"deleted_at": null
},
"screening": {
"id": 51,
"mysql_resume_id": 84,
"candidate_name": "王佳陆",
"age": 24,
"highest_degree": "硕士",
"school": "南京航空航天大学",
"years_experience": 7,
"location": "江苏南京江宁区",
"current_company": "",
"skills": [
"C",
"C++",
"Linux",
"ROS",
"OpenCV",
"Pytorch",
"Mask R-CNN",
"ONNX Runtime",
"MMDetection",
"CnOcr",
"多线程",
"Python",
"LabVIEW",
"PID控制",
"传感器数据融合",
"C语言程序设计",
"串级PID控制",
"陀螺仪数据解算",
"电磁循迹",
"数据结构与算法",
"深度学习框架",
"嵌入式设备部署",
"32位ARM单片机",
"51单片机",
"UART"
],
"parse_quality_score": 100,
"parser_version": "resume-parser-v1.1+codex",
"llm_enhanced": true,
"check_education": {
"label": "学历",
"detail": "学历要求≥本科",
"matched": true,
"evidence": "硕士",
"severity": "must"
},
"check_experience": {
"label": "经验年限",
"detail": "要求≥3.0年，实际7.0年",
"matched": true,
"evidence": "7.0年",
"severity": "must"
},
"check_core_skill_linux": {
"label": "核心技能",
"detail": "核心技能：精通Linux开发环境",
"matched": false,
"evidence": "命中关键词(1\/5): linux",
"severity": "must"
},
"bonus_arm": {
"label": "加分项",
"detail": "加分项：ARM架构经验",
"matched": true,
"evidence": "命中: arm",
"severity": "bonus"
},
"bonus_image": {
"label": "加分项",
"detail": "加分项：图像处理\/计算机视觉",
"matched": true,
"evidence": "命中: opencv",
"severity": "bonus"
},
"bonus_driver": {
"label": "加分项",
"detail": "加分项：驱动开发经验",
"matched": false,
"evidence": "未命中",
"severity": "bonus"
},
"redline_education": "pass",
"redline_experience": "pass",
"redline_linux": "weak",
"redline_location": "risk",
"redline_single_day_off": "pending_interview",
"match_score": 66,
"hard_all_pass": false,
"bonus_hit_count": 2,
"cross_reference": {
"flags": [
{
"type": "skill_project_gap",
"detail": "14\/32 个声称技能在项目和摘要中均无体现: ['MMDetection', 'CnOcr', 'Python', 'PID控制', '传感器数据融合', 'C语言程序设计', '串级PID控制', '陀螺仪数据解算']",
"severity": "high",
"suggested_check": "面试时验证这些技能的真实性"
},
{
"type": "timeline_anomaly",
"detail": "毕业2026年，经验7.0年，推算开始工作年份与预期毕业年份偏差7年",
"severity": "medium",
"suggested_check": "核实是否有中断、转行或教育经历不完整"
}
],
"is_noise": false,
"education_timeline": {
"gap_years": 7,
"timeline_ok": false,
"graduation_year": 2026,
"years_experience": 7,
"estimated_work_start": 2019,
"expected_graduation_start": 2048
},
"overall_consistency": 60,
"skill_contradictions": [],
"field_completeness_pct": 100,
"skill_project_consistency": {
"noisy_skills": [],
"claimed_skills": [
"C",
"C++",
"Linux",
"ROS",
"OpenCV",
"Pytorch",
"Mask R-CNN",
"ONNX Runtime",
"MMDetection",
"CnOcr",
"多线程",
"Python",
"LabVIEW",
"PID控制",
"传感器数据融合",
"C语言程序设计",
"串级PID控制",
"陀螺仪数据解算",
"电磁循迹",
"数据结构与算法",
"深度学习框架",
"嵌入式设备部署",
"32位ARM单片机",
"51单片机",
"UART"
],
"consistency_score": 75,
"skills_in_summary_only": [
"C",
"C++",
"Linux",
"ROS",
"OpenCV",
"Pytorch",
"Mask R-CNN",
"ONNX Runtime",
"LabVIEW",
"51单片机"
],
"skills_without_evidence": [
"MMDetection",
"CnOcr",
"Python",
"PID控制",
"传感器数据融合",
"C语言程序设计",
"串级PID控制",
"陀螺仪数据解算",
"数据结构与算法",
"深度学习框架",
"嵌入式设备部署",
"32位ARM单片机",
"坐标变换",
"建模软件"
],
"skills_verified_in_projects": [
"ROS",
"LabVIEW",
"电磁循迹",
"话题通信",
"多线程",
"32位ARM单片机",
"C",
"CnOcr",
"PID控制"
]
}
},
"screening_verdict": "pending",
"screening_summary": "存在硬性条件不满足或边界情况，需周总决策",
"pushed_to_feishu": false,
"feishu_message_id": "",
"created_at": "2026-06-29T10:06:33.000000Z",
"updated_at": "2026-06-29T10:43:05.000000Z",
"overall_score": "{\"composite\": 71.5, \"stability\": 64, \"pace_match\": 56, \"tech_power\": 85, \"salary_match\": 74, \"communication\": 80, \"salary_match_source\": \"inferred_from_profile\"}",
"risk_flags": "[{\"type\": \"stability_concern\", \"detail\": \"稳定性偏低(评分64\/100)\", \"severity\": \"medium\"}, {\"type\": \"pace_concern\", \"detail\": \"节奏匹配度偏低(评分56\/100)\", \"severity\": \"medium\"}, {\"type\": \"salary_slightly_over\", \"detail\": \"薪资略超预算(匹配度74\/100)\", \"severity\": \"medium\"}]",
"recommended_action": "pending",
"score_breakdown": "{\"stability\": {\"score\": 64, \"weight\": 0.25, \"rationale\": \"基于7.0年经验 + 公司判断 + 离职信号\", \"confidence\": \"medium\", \"confidence_note\": \"真正稳定性需面试确认职业规划和跳槽原因\"}, \"pace_match\": {\"score\": 56, \"weight\": 0.2, \"rationale\": \"地点: 江苏南京江宁区 + 普通 + 7.0年\", \"confidence\": \"medium\"}, \"tech_power\": {\"score\": 85, \"weight\": 0.3, \"evidence\": [\"学历: 通过\", \"经验: 7.0年\", \"Linux: 弱\", \"加分: 2\/3\", \"交叉验证一致性: 60%\"], \"rationale\": \"硬性条件匹配 + 经验7.0年 + 9个项目 + 一致性60%\", \"confidence\": \"medium\"}, \"salary_match\": {\"score\": 74, \"source\": \"inferred_from_profile\", \"weight\": 0.2, \"rationale\": \"未提取到薪资数字，根据7.0年经验+学校+公司+城市推断\", \"confidence\": \"low\"}, \"communication\": {\"score\": 80, \"weight\": 0.05, \"rationale\": \"基于简历文本完整度和结构化程度的代理评估，非真实沟通能力\", \"confidence\": \"low\", \"confidence_note\": \"无法从简历评估真实沟通能力，需技术面验证\"}}"
}
}