{"id":"W2037228908","doi":"10.1155/2015/191470","title":"Increasing Trends in Orthopedic Fellowships Are Not due to Inadequate Residency Training","year":2015,"lang":"en","type":"article","venue":"Education Research International","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Curriculum; Algorithm; Medical education; Artificial intelligence; Computer science; Machine learning; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01012158,0.00006261651,0.0000994049,0.001122169,0.000259333,0.00018688,0.0006783744,0.00006779953,0.00119501],"category_scores_gemma":[0.00765461,0.00006906487,0.00002648779,0.001094238,0.0001966315,0.000354805,0.0001272307,0.000366679,0.0002299895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007660117,"about_ca_system_score_gemma":0.002251898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01459575,"about_ca_topic_score_gemma":0.01347252,"domain_scores_codex":[0.9961378,0.0007501008,0.0001836094,0.0002356587,0.002341487,0.0003513662],"domain_scores_gemma":[0.9982055,0.0002998957,0.0000486238,0.0001204184,0.0008946731,0.000430864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002360728,0.0003310537,0.1047782,0.00000691999,0.00002014942,0.00007664042,0.1868623,0.00003863706,0.00003605634,0.05563355,0.1650033,0.4869772],"study_design_scores_gemma":[0.0005116074,0.00007276837,0.1654643,0.0002237031,0.0000035332,0.000008480901,0.4407583,0.00005053124,0.00001819485,0.005842258,0.3868823,0.0001639944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6951779,0.00003852308,0.000031696,0.09025609,0.001794453,0.0001246988,0.000007217718,0.0000195059,0.21255],"genre_scores_gemma":[0.9728335,0.00001498481,0.0005129065,0.0008005399,0.00134558,0.00003181511,0.00003790925,0.000006096195,0.02441674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4868132,"threshold_uncertainty_score":0.999718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3617360248547545,"score_gpt":0.498406621363566,"score_spread":0.1366705965088115,"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."}}