{"id":"W2025009189","doi":"10.1023/b:ahse.0000027479.14637.6c","title":"Where Judgement Fails: Pitfalls in the Selection Process for Medical Personnel","year":2004,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Selection (genetic algorithm); Judgement; Process (computing); Perception; Personnel selection; Cognition; Psychology; Engineering ethics; Management science; Computer science; Medical education; Medicine; Epistemology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001985378,0.00008318966,0.0001423007,0.0001821752,0.0002618335,0.00002354899,0.0001966784,0.00005113956,0.0002618286],"category_scores_gemma":[0.002632261,0.00005411857,0.00002469726,0.001002929,0.0001567791,0.0003519002,0.000005847271,0.0002085649,0.000005857818],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002679522,"about_ca_system_score_gemma":0.01016458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002511368,"about_ca_topic_score_gemma":0.00176029,"domain_scores_codex":[0.9983188,0.00006607753,0.0004027203,0.0002898634,0.00061516,0.0003073876],"domain_scores_gemma":[0.999154,0.000167864,0.0001221314,0.0000972822,0.00008275419,0.0003760209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002140273,0.01048558,0.1409248,0.007829197,0.000009687661,0.000002974162,0.1189893,0.003906274,0.00005177415,0.08178948,0.01069457,0.6251023],"study_design_scores_gemma":[0.005786058,0.003223094,0.07226603,0.009650062,0.00002315804,0.0001919599,0.4147639,0.006276519,0.0001773746,0.0387935,0.448243,0.0006053003],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4038348,0.0147427,0.003314942,0.5691404,0.002490441,0.003281862,0.000001922044,0.00005150123,0.003141349],"genre_scores_gemma":[0.9698997,0.002664167,0.003440471,0.02291265,0.0003564276,0.0005813351,0.00001200664,0.000005455939,0.00012778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6244969,"threshold_uncertainty_score":0.9954469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03449626832889228,"score_gpt":0.4653521926444494,"score_spread":0.4308559243155571,"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."}}