{"id":"W4410100147","doi":"10.47392/irjaem.2025.0143","title":"Job Screen AI – Automated Resume Screening system","year":2025,"lang":"en","type":"article","venue":"International Research Journal on Advanced Engineering and Management (IRJAEM)","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":"Computer science; Artificial intelligence","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":[0.00109055,0.0005226068,0.0005271567,0.00163587,0.0006374722,0.001530316,0.001178968,0.0005593355,0.02049247],"category_scores_gemma":[0.003723487,0.0002678181,0.0002918502,0.0006800551,0.0002015102,0.001059307,0.000781371,0.0007328482,0.01246001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258127,"about_ca_system_score_gemma":0.000907739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680509,"about_ca_topic_score_gemma":0.00234448,"domain_scores_codex":[0.9992554,0.0001578402,0.00007020441,0.0001573942,0.0003029834,0.00005621084],"domain_scores_gemma":[0.9976533,0.0007982869,0.0002078249,0.0003411046,0.0007463199,0.0002532483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002302374,0.001188105,0.01464569,0.0008507751,0.00007828396,0.0007062331,0.001093901,0.005328041,0.03614967,0.006779314,0.1980986,0.732779],"study_design_scores_gemma":[0.00064048,0.001636229,0.05270241,0.0004414252,0.0001943613,0.001400735,0.0009172031,0.3952616,0.08133395,0.01093633,0.4541059,0.0004294537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1042762,0.001637572,0.4314721,0.00221319,0.0008569229,0.002332992,0.01016701,0.3671975,0.07984661],"genre_scores_gemma":[0.6368728,0.00110317,0.2335208,0.001428462,0.0004255695,0.00145009,0.01513115,0.002351034,0.107717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02049247,"threshold_uncertainty_score":0.0685541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345954699101618,"score_gpt":0.3245142469240819,"score_spread":0.3010546999330658,"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."}}