{"id":"W4415477420","doi":"10.1097/gox.0000000000007177","title":"Artificial Intelligence Use in Academic Applicant Screening: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Value (mathematics); Ethical issues; Applications of artificial intelligence; Focus (optics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02897541,0.001234981,0.005897143,0.01409747,0.001070204,0.00445355,0.002197396,0.001955569,0.00345743],"category_scores_gemma":[0.1436799,0.001246587,0.005584963,0.01629018,0.001570501,0.003688936,0.002354181,0.001327526,0.0003315301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005768322,"about_ca_system_score_gemma":0.02178328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007672349,"about_ca_topic_score_gemma":0.02758227,"domain_scores_codex":[0.9639013,0.01553521,0.01238359,0.001596854,0.00601827,0.0005647598],"domain_scores_gemma":[0.8098726,0.1559892,0.01996745,0.002221215,0.01087746,0.001072024],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001258514,0.00001729848,0.001335899,0.932808,0.004672476,0.00007978112,0.0003955347,0.00009345307,0.00009091041,0.0003466991,0.001646437,0.05838764],"study_design_scores_gemma":[0.00008972079,0.0001264293,0.002752105,0.9599182,0.0220173,0.0002295368,0.0004571902,0.00009447402,0.0001330123,0.0003715876,0.01378475,0.00002559963],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001303609,0.9968291,0.0002990685,0.0004683468,0.0001190265,0.0004173307,0.0002280952,0.00001054756,0.0003248108],"genre_scores_gemma":[0.02176942,0.974585,0.001435411,0.0007236468,0.00009820956,0.001057262,0.0002169295,0.000009366177,0.0001047546],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9710246,"threshold_uncertainty_score":0.1532385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3688457455786567,"score_gpt":0.4890213711110117,"score_spread":0.120175625532355,"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."}}