{
    "summary": {
        "overall_match": "候选人技术栈与岗位需求高度匹配，具备丰富的机器视觉项目落地经验，但最近一段工作经历较短，稳定性需进一步核实。",
        "key_strengths": [
            "核心视觉平台（VisionPro\/VisionMaster\/Halcon）及PLC通信技能完全覆盖JD要求",
            "具备复杂场景打光方案设计及3D相机应用经验，项目成果数据详实"
        ],
        "key_concerns": [
            "最近一段工作经历仅3个月，稳定性得分较低",
            "期望薪资面议，需后续沟通确认是否在10-15K预算内"
        ],
        "recommendation_summary": "技术匹配度优秀，项目经验丰富，但近期短期离职存在稳定性风险，建议进入面试环节重点核实离职原因及职业规划。"
    },
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 90,
            "confidence_level": "high",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50
                },
                {
                    "item": "视觉平台熟练应用",
                    "score_change": 10,
                    "evidence": "熟练使用VisionPro、VisionMaster及Halcon，并在多个锂电和手机屏幕项目中独立搭建算法与调试"
                },
                {
                    "item": "光学打光与方案设计",
                    "score_change": 10,
                    "evidence": "手机屏幕项目中针对反光透光问题设计低角度环形光源，具备光源选型与打光验证能力"
                },
                {
                    "item": "PLC与通信协议对接",
                    "score_change": 10,
                    "evidence": "多个项目中通过TCP、西门子S7等协议与PLC进行IO信号交互及数据下发"
                },
                {
                    "item": "3D相机应用经验(加分项)",
                    "score_change": 5,
                    "evidence": "Busbar项目中引入2D、3D相机AOI视觉检测设备进行尺寸与缺陷测量"
                },
                {
                    "item": "复杂项目成果证据",
                    "score_change": 5,
                    "evidence": "手机屏幕引导贴合项目实现±0.02mm精度，不良率下降90%，成果明确"
                }
            ],
            "jd_requirement": "本科及以上，2年以上机器视觉项目经验；熟练视觉平台操作；扎实光学基础与打光方案；熟悉工业通信协议对接PLC；有3D或AI经验优先。",
            "resume_fulfillment": "完全满足。具备2.4年视觉项目经验，精通主流视觉软件，有复杂打光设计和3D相机应用经验，PLC通信对接经验丰富。"
        },
        {
            "name": "stability",
            "raw_score": 30,
            "confidence_level": "high",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50
                },
                {
                    "item": "最近一段任职<=12个月且历史均值<=2年",
                    "score_change": -20,
                    "evidence": "最近一段工作（苏州苏映视）仅3个月；前一段工作26个月（折算2年），历史均值为2年，触发扣分规则"
                }
            ],
            "jd_requirement": "未明确说明，依据通用稳定性评估标准：考察正式工作任职时长模式。",
            "resume_fulfillment": "候选人有两段正式工作经历，第一段26个月，第二段仅3个月。近期短期离职导致稳定性得分较低。"
        },
        {
            "name": "salary_match",
            "raw_score": 50,
            "confidence_level": "low",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50
                }
            ],
            "jd_requirement": "10-15K",
            "resume_fulfillment": "候选人期望薪资为面议，信息缺失，无法直接评估匹配度。"
        },
        {
            "name": "pace_match",
            "raw_score": 70,
            "confidence_level": "medium",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50
                },
                {
                    "item": "地点匹配",
                    "score_change": 10,
                    "evidence": "最近一份工作在苏州，当前大概率在苏州，与岗位地点苏州匹配"
                },
                {
                    "item": "接受出差与驻场",
                    "score_change": 10,
                    "evidence": "自我评价明确表示能够接受出差、驻场加班调试"
                }
            ],
            "jd_requirement": "苏州工作，月休4天（单休），适应中短期出差，无需长期驻场。",
            "resume_fulfillment": "地点匹配且明确接受出差\/驻场。但对月休4天（单休）未明确表态，到岗时间未知，整体节奏匹配度良好但部分信息缺失。"
        },
        {
            "name": "communication",
            "raw_score": 95,
            "confidence_level": "high",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50
                },
                {
                    "item": "模块清晰",
                    "score_change": 10,
                    "evidence": "简历结构完整，包含基本信息、教育、技能、工作、项目等模块"
                },
                {
                    "item": "字段完整",
                    "score_change": 10,
                    "evidence": "任职时间、公司、职位及项目字段均完整清晰"
                },
                {
                    "item": "背景、动作与结果清晰",
                    "score_change": 15,
                    "evidence": "项目经历详细描述了背景、个人职责及量化成果（如精度、良率提升）"
                },
                {
                    "item": "一致性",
                    "score_change": 10,
                    "evidence": "技能声明与项目经历高度一致，时间线无矛盾"
                }
            ],
            "jd_requirement": "此项为简历信息表达质量评估，JD无直接要求。",
            "resume_fulfillment": "简历排版清晰，逻辑严密，项目描述采用STAR法则，成果量化明确，呈现质量极高。"
        }
    ],
    "match_score": 72.6,
    "overall_confidence": 0.91,
    "risks": {
        "hard_constraint_risks": [],
        "confirmed_high_risks": [
            {
                "dimension": "stability",
                "description": "候选人最近一段工作经历（苏州苏映视）仅3个月，历史平均任职2年，稳定性得分较低（30分），需核实短期离职原因。",
                "risk_impact": 4
            }
        ],
        "potential_risks": []
    },
    "missing_information": [
        "候选人期望薪资面议，需沟通确认是否在10-15K预算范围内",
        "候选人未明确说明是否接受月休4天（单休）的工作节奏",
        "候选人未提供具体到岗时间"
    ],
    "recommendation": "pending",
    "recommendation_reason": "候选人技术匹配度优秀，项目经验丰富，但近期短期离职存在稳定性风险，且部分节奏与薪资信息缺失，建议进入面试环节重点核实离职原因及职业规划。"
}

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