{"id":"W2135415712","doi":"10.3109/0142159x.2011.577123","title":"Admission selection criteria as predictors of outcomes in an undergraduate medical course: A prospective study","year":2011,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Medical Education and Admissions","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Aptitude; Test (biology); Selection (genetic algorithm); Predictive validity; Predictive power; Educational measurement; Academic achievement; Psychology; Medicine; Medical education; Clinical psychology; Mathematics education; Curriculum; Developmental psychology; Computer science; Biology","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001448209,0.0002176604,0.0005827109,0.0001780544,0.00005844534,0.000006529405,0.0002325625,0.0003673784,0.09501223],"category_scores_gemma":[0.01249339,0.000146996,0.00009186019,0.0003644321,0.0002384742,0.0001018399,0.00006790967,0.000936315,0.00005315216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009901262,"about_ca_system_score_gemma":0.002760779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003469955,"about_ca_topic_score_gemma":0.0001584883,"domain_scores_codex":[0.9961303,0.0004095506,0.0007005858,0.0004417241,0.00198202,0.0003358212],"domain_scores_gemma":[0.9961321,0.00006685792,0.0001184974,0.0003136101,0.0001213382,0.003247648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002352736,0.01410461,0.9724714,0.0000375288,0.00009765072,0.0001514927,0.0057106,1.817199e-8,0.00004277071,0.0001367145,0.00382097,0.003190935],"study_design_scores_gemma":[0.005628082,0.002981506,0.9825887,0.0004223433,0.0001666633,0.0001103913,0.004634778,0.001006223,0.0001717914,0.0005896088,0.001482673,0.0002172416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832374,0.00004450085,0.00007017604,0.007904044,0.0004962709,0.0007788,9.101783e-7,0.0001147263,0.00735312],"genre_scores_gemma":[0.9935395,0.0000140287,0.0001500787,0.0009611805,0.0002354646,0.00008367025,0.00001382752,0.00003042835,0.004971862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09495908,"threshold_uncertainty_score":0.9958248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0503530725367782,"score_gpt":0.4099198168979873,"score_spread":0.3595667443612091,"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."}}