{"id":"W2549147689","doi":"10.1007/s10459-016-9739-9","title":"CASPer, an online pre-interview screen for personal/professional characteristics: prediction of national licensure scores","year":2016,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Health Sciences Centre","funders":"Medical Research Council Canada; National Board of Medical Examiners; McMaster University","keywords":"Licensure; Specialty; Medical education; Test (biology); United States Medical Licensing Examination; Psychology; Medicine; Cognition; Family medicine; Medical school; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002246373,0.0004903867,0.0005177319,0.003174268,0.001073993,0.00108034,0.001011797,0.001020661,0.009307704],"category_scores_gemma":[0.01475253,0.0004012274,0.0008270213,0.00103432,0.0002429888,0.001316544,0.001451278,0.001306377,0.003813597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006930286,"about_ca_system_score_gemma":0.001742973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325318,"about_ca_topic_score_gemma":0.02930643,"domain_scores_codex":[0.9986377,0.0002995149,0.0002516476,0.0001483692,0.0004555954,0.000207148],"domain_scores_gemma":[0.9887407,0.003062295,0.002600347,0.0006399781,0.003337046,0.001619551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002588529,0.0007277688,0.9780545,0.00003131677,0.00004634763,0.00007581698,0.0002042947,0.0001481178,0.0003573478,0.00006296962,0.00420376,0.01582887],"study_design_scores_gemma":[0.0000276604,0.0003210727,0.9963611,0.00002296962,0.00002571899,0.0001328299,0.0003957856,0.0007094949,0.0004106798,0.00009552001,0.001482634,0.00001450994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822538,0.0001557013,0.0008611566,0.0007236208,0.00008003346,0.0004918954,0.006733349,0.00013735,0.008563203],"genre_scores_gemma":[0.9697506,0.0002417951,0.004249643,0.0002894676,0.00007857398,0.0008196089,0.009454779,0.0000547817,0.01506085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01325318,"threshold_uncertainty_score":0.03113741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08981395372517598,"score_gpt":0.4723511209333048,"score_spread":0.3825371672081289,"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."}}