{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247084,0.00009808134,0.0002223528,0.0002231593,0.00015793,0.000006657992,0.0001211808,0.0000547615,0.0005270971],"category_scores_gemma":[0.002435573,0.00006250678,0.00004155738,0.0003277842,0.0002489552,0.0004632331,0.00001377253,0.00009326088,0.000002473511],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704116,"about_ca_system_score_gemma":0.006252001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007151659,"about_ca_topic_score_gemma":0.00008053862,"domain_scores_codex":[0.9982439,0.0001036298,0.00059087,0.0003220547,0.0005170275,0.0002224761],"domain_scores_gemma":[0.9984164,0.0002900408,0.0003256036,0.0001003128,0.0004046554,0.0004629994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000172911,0.00279746,0.1524745,0.001379091,0.00000721485,1.416461e-7,0.003303912,0.000002392534,0.0008800652,0.003578204,0.00442847,0.8309757],"study_design_scores_gemma":[0.00115375,0.001465779,0.8780307,0.006481065,0.00001125139,0.00002556205,0.002715453,0.002791424,0.0001441169,0.002032823,0.1049973,0.0001508065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901807,0.007502115,0.002063706,0.080418,0.005074685,0.001949478,0.0006465925,0.00006373338,0.0004746666],"genre_scores_gemma":[0.9833069,0.002730845,0.006545814,0.004785731,0.0008177134,0.0001364735,0.0003037776,0.000009802876,0.001362885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8308249,"threshold_uncertainty_score":0.9993816,"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."}}