{"id":"W4412446013","doi":"10.1109/icici65870.2025.11069785","title":"AI-Powered Resume Screening System Using NLP and Machine Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Artificial intelligence; Natural language processing; Machine learning; Speech recognition","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":[0.001319809,0.0008215157,0.0006533696,0.002700826,0.0007218379,0.001399504,0.001242976,0.0006187909,0.01721233],"category_scores_gemma":[0.003778342,0.0002775323,0.0005209893,0.001234009,0.0002170604,0.001782625,0.00123175,0.0007795154,0.01803044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005453317,"about_ca_system_score_gemma":0.001161963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003171691,"about_ca_topic_score_gemma":0.003507763,"domain_scores_codex":[0.9992006,0.0001271689,0.00008936468,0.0002676055,0.0002600553,0.00005519325],"domain_scores_gemma":[0.997355,0.001115362,0.0002370386,0.0004245548,0.0006446996,0.0002234302],"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":[0.0007626474,0.0006791626,0.01129126,0.001082726,0.0001016,0.0007644941,0.0009822554,0.004149534,0.04387433,0.002904476,0.1564872,0.7769204],"study_design_scores_gemma":[0.0003460329,0.0007706527,0.04549205,0.0003051494,0.0001792326,0.001081367,0.001731426,0.4662503,0.09421227,0.01328854,0.3760482,0.0002947826],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06496868,0.0007915206,0.562929,0.001385444,0.0007188865,0.002065258,0.02348295,0.3133563,0.03030191],"genre_scores_gemma":[0.3500348,0.0008274756,0.5136912,0.001123246,0.0007279668,0.003115046,0.0571329,0.003503627,0.06984377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01721233,"threshold_uncertainty_score":0.05758101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346483338106629,"score_gpt":0.2675376593003124,"score_spread":0.2340728259192461,"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."}}