{"id":"W7140310498","doi":"10.1109/gcwcn66157.2025.11448508","title":"Enhancing Recruitment Efficiency in HRM through Intelligent Resume Screening and Job Matching Using Fuzzy Logic and Ensemble Learning","year":2025,"lang":"","type":"article","venue":"","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Matching (statistics); Fuzzy logic; Ensemble learning; Fuzzy control system; Human resource management; Job evaluation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002726657,0.000586193,0.0007518099,0.001602524,0.0007654798,0.001366646,0.00127151,0.0009897801,0.002393666],"category_scores_gemma":[0.005601607,0.0002637735,0.0007289713,0.001028111,0.0002824668,0.001372589,0.001281278,0.000904873,0.001055693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106915,"about_ca_system_score_gemma":0.00169605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005422616,"about_ca_topic_score_gemma":0.008097104,"domain_scores_codex":[0.9989291,0.0003370483,0.00005763433,0.0002593531,0.0003025524,0.0001143172],"domain_scores_gemma":[0.9982993,0.0007736622,0.0002420931,0.0001774197,0.0003630185,0.0001446409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000423453,0.0007530993,0.02211974,0.0001718292,0.0001048058,0.0001279914,0.0004330291,0.1134178,0.009021048,0.002658036,0.005281578,0.8454875],"study_design_scores_gemma":[0.00003143334,0.0002843056,0.007914527,0.0000475602,0.00006271651,0.0000691386,0.000182712,0.977629,0.00611452,0.004903272,0.00271565,0.0000450406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2024936,0.0005951818,0.7808115,0.001228034,0.0001348384,0.0003930383,0.0003948729,0.004660164,0.009288832],"genre_scores_gemma":[0.8051643,0.0002341237,0.1875794,0.0003478088,0.00005841889,0.000229874,0.0004549379,0.00005392898,0.005877161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005422616,"threshold_uncertainty_score":0.01442015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07554486966452431,"score_gpt":0.312870160208618,"score_spread":0.2373252905440937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}