交叉验证
#37
殷
殷歆
学历-经验时间线
gap_years
1
timeline_ok
是
graduation_year
2022
years_experience
3
estimated_work_start
2023
expected_graduation_start
2044
技能-项目一致性
得分
55
声称技能 (25)
C++
Python
Vue.js
Flask
Django
RESTful API
前后端分离架构
OpenCV
FFmpeg
目标检测
视频编解码
流媒体开发
Pandas
NumPy
数据清洗
SQL
MySQL
SQLite
PyTorch
图像分类
目标跟踪
ONNX
TensorRT
Linux
Shell
项目中验证 (13)
Socket
PyQt
Python
Qt
FFmpeg
目标检测
Live555
C++
Flask
MySQL
SQL
SQLite
Linux
仅在摘要中 (9)
C++
Python
Flask
FFmpeg
SQL
MySQL
SQLite
Qt
Socket
无证据 (15)
Vue.js
Django
RESTful API
前后端分离架构
OpenCV
视频编解码
流媒体开发
Pandas
NumPy
数据清洗
PyTorch
图像分类
目标跟踪
ONNX
TensorRT
矛盾/可疑信号
skill_project_gap
high
30/40 个声称技能在项目和摘要中均无体现: ['Vue.js', 'Django', 'RESTful API', '前后端分离架构', 'OpenCV', '视频编解码', '流媒体开发', 'Pandas']
建议：面试时验证这些技能的真实性
timeline_anomaly
medium
毕业2022年，经验3.0年，推算开始工作年份与预期毕业年份偏差1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": 37,
"mysql_resume_id": 82,
"screening_id": 37,
"skill_project_consistency": {
"noisy_skills": [],
"claimed_skills": [
"C++",
"Python",
"Vue.js",
"Flask",
"Django",
"RESTful API",
"前后端分离架构",
"OpenCV",
"FFmpeg",
"目标检测",
"视频编解码",
"流媒体开发",
"Pandas",
"NumPy",
"数据清洗",
"SQL",
"MySQL",
"SQLite",
"PyTorch",
"图像分类",
"目标跟踪",
"ONNX",
"TensorRT",
"Linux",
"Shell"
],
"consistency_score": 55,
"skills_in_summary_only": [
"C++",
"Python",
"Flask",
"FFmpeg",
"SQL",
"MySQL",
"SQLite",
"Qt",
"Socket"
],
"skills_without_evidence": [
"Vue.js",
"Django",
"RESTful API",
"前后端分离架构",
"OpenCV",
"视频编解码",
"流媒体开发",
"Pandas",
"NumPy",
"数据清洗",
"PyTorch",
"图像分类",
"目标跟踪",
"ONNX",
"TensorRT"
],
"skills_verified_in_projects": [
"Socket",
"PyQt",
"Python",
"Qt",
"FFmpeg",
"目标检测",
"Live555",
"C++",
"Flask",
"MySQL",
"SQL",
"SQLite",
"Linux"
]
},
"education_timeline": {
"gap_years": 1,
"timeline_ok": true,
"graduation_year": 2022,
"years_experience": 3,
"estimated_work_start": 2023,
"expected_graduation_start": 2044
},
"salary_location_check": null,
"skill_level_contradictions": null,
"overall_consistency": 55,
"flags": [
{
"type": "skill_project_gap",
"detail": "30\/40 个声称技能在项目和摘要中均无体现: ['Vue.js', 'Django', 'RESTful API', '前后端分离架构', 'OpenCV', '视频编解码', '流媒体开发', 'Pandas']",
"severity": "high",
"suggested_check": "面试时验证这些技能的真实性"
},
{
"type": "timeline_anomaly",
"detail": "毕业2022年，经验3.0年，推算开始工作年份与预期毕业年份偏差1年",
"severity": "medium",
"suggested_check": "核实是否有中断、转行或教育经历不完整"
}
],
"created_at": "2026-06-29T10:06:26.000000Z",
"resume": {
"id": 82,
"resource_id": 82,
"source_text_sha256": "aec90fc0875baa3c23aa3db0ab2cbdf99843545f5d8ec311da6a0db5483fec8d",
"target_role": "C++",
"candidate_name": "殷歆",
"age": 30,
"phone": "18961703791",
"email": "kelly_yyx@126.com",
"wechat": "",
"location": "苏州",
"highest_degree": "硕士",
"school": "苏州科技大学",
"major": "计算机科学与技术",
"graduation_year": 2022,
"years_experience": 3,
"current_company": "苏州华启智能科技有限公司",
"current_title": "C\/C++",
"skills_json": [
"C++",
"Python",
"Vue.js",
"Flask",
"Django",
"RESTful API",
"前后端分离架构",
"OpenCV",
"FFmpeg",
"目标检测",
"视频编解码",
"流媒体开发",
"Pandas",
"NumPy",
"数据清洗",
"SQL",
"MySQL",
"SQLite",
"PyTorch",
"图像分类",
"目标跟踪",
"ONNX",
"TensorRT",
"Linux",
"Shell",
"Git",
"SVN",
"网络协议分析",
"Wireshark",
"Qt",
"Live555",
"Socket",
"Yolov5",
"OpenPose",
"PyQt",
"PyQt5",
"VLC",
"HTML5",
"CSS3",
"JavaScript"
],
"summary": "殷歆，男，30岁，硕士毕业于苏州科技大学计算机科学与技术专业，原文显示3年工作经验，求职意向为C\/C++，期望城市苏州。曾任苏州科达科技股份有限公司前端开发工程师，2022年6月至今在苏州华启智能科技有限公司从事C\/C++开发。经历涉及地铁车载监控、地铁动态地图、NVR、自动化检测工装、智能分析和全栈业务平台开发，使用C++、Python、Qt、FFmpeg、Socket、SQLite、Flask、Vue、MySQL等技术。",
"raw_text_path": "\/opt\/ai-recruiter-demo\/resume_resources\/2026\/06\/0e4c8ef439bf3bce_raw.txt",
"raw_text_url": "http:\/\/39.102.63.164\/resources\/resumes\/2026\/06\/0e4c8ef439bf3bce_raw.txt",
"parser_version": "resume-parser-v1.1+codex",
"llm_used": true,
"created_at": "2026-06-29T07:56:03.000000Z",
"updated_at": "2026-06-29T12:57:02.000000Z",
"deleted_at": null
},
"screening": {
"id": 37,
"mysql_resume_id": 82,
"candidate_name": "殷歆",
"age": 30,
"highest_degree": "硕士",
"school": "苏州科技大学",
"years_experience": 3,
"location": "苏州",
"current_company": "苏州华启智能科技有限公司",
"skills": [
"C++",
"Python",
"Vue.js",
"Flask",
"Django",
"RESTful API",
"前后端分离架构",
"OpenCV",
"FFmpeg",
"目标检测",
"视频编解码",
"流媒体开发",
"Pandas",
"NumPy",
"数据清洗",
"SQL",
"MySQL",
"SQLite",
"PyTorch",
"图像分类",
"目标跟踪",
"ONNX",
"TensorRT",
"Linux",
"Shell"
],
"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3.0年",
"matched": true,
"evidence": "3.0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": false,
"evidence": "未命中",
"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": "pass",
"redline_single_day_off": "pending_interview",
"match_score": 56,
"hard_all_pass": false,
"bonus_hit_count": 1,
"cross_reference": {
"flags": [
{
"type": "skill_project_gap",
"detail": "30\/40 个声称技能在项目和摘要中均无体现: ['Vue.js', 'Django', 'RESTful API', '前后端分离架构', 'OpenCV', '视频编解码', '流媒体开发', 'Pandas']",
"severity": "high",
"suggested_check": "面试时验证这些技能的真实性"
},
{
"type": "timeline_anomaly",
"detail": "毕业2022年，经验3.0年，推算开始工作年份与预期毕业年份偏差1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": 1,
"timeline_ok": true,
"graduation_year": 2022,
"years_experience": 3,
"estimated_work_start": 2023,
"expected_graduation_start": 2044
},
"overall_consistency": 55,
"skill_contradictions": [],
"field_completeness_pct": 100,
"skill_project_consistency": {
"noisy_skills": [],
"claimed_skills": [
"C++",
"Python",
"Vue.js",
"Flask",
"Django",
"RESTful API",
"前后端分离架构",
"OpenCV",
"FFmpeg",
"目标检测",
"视频编解码",
"流媒体开发",
"Pandas",
"NumPy",
"数据清洗",
"SQL",
"MySQL",
"SQLite",
"PyTorch",
"图像分类",
"目标跟踪",
"ONNX",
"TensorRT",
"Linux",
"Shell"
],
"consistency_score": 55,
"skills_in_summary_only": [
"C++",
"Python",
"Flask",
"FFmpeg",
"SQL",
"MySQL",
"SQLite",
"Qt",
"Socket"
],
"skills_without_evidence": [
"Vue.js",
"Django",
"RESTful API",
"前后端分离架构",
"OpenCV",
"视频编解码",
"流媒体开发",
"Pandas",
"NumPy",
"数据清洗",
"PyTorch",
"图像分类",
"目标跟踪",
"ONNX",
"TensorRT"
],
"skills_verified_in_projects": [
"Socket",
"PyQt",
"Python",
"Qt",
"FFmpeg",
"目标检测",
"Live555",
"C++",
"Flask",
"MySQL",
"SQL",
"SQLite",
"Linux"
]
}
},
"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": "2026-06-29T10:06:26.000000Z",
"updated_at": "2026-06-29T10:42:54.000000Z",
"overall_score": "{\"composite\": 74.8, \"stability\": 53, \"pace_match\": 88, \"tech_power\": 75, \"salary_match\": 87, \"communication\": 80, \"salary_match_source\": \"inferred_from_profile\"}",
"risk_flags": "[{\"type\": \"stability_concern\", \"detail\": \"稳定性偏低(评分53\/100)\", \"severity\": \"medium\"}]",
"recommended_action": "pending",
"score_breakdown": "{\"stability\": {\"score\": 53, \"weight\": 0.25, \"rationale\": \"基于3.0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\": 88, \"weight\": 0.2, \"rationale\": \"地点: 苏州✅ + 普通 + 3.0年\", \"confidence\": \"medium\"}, \"tech_power\": {\"score\": 75, \"weight\": 0.3, \"evidence\": [\"学历: 通过\", \"经验: 3.0年\", \"Linux: 弱\", \"加分: 1\/3\", \"交叉验证一致性: 55%\"], \"rationale\": \"硬性条件匹配 + 经验3.0年 + 13个项目 + 一致性55%\", \"confidence\": \"medium\"}, \"salary_match\": {\"score\": 87, \"source\": \"inferred_from_profile\", \"weight\": 0.2, \"rationale\": \"未提取到薪资数字，根据3.0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\"}}"
}
}