{"id":"W4249119398","doi":"10.1016/s1701-2163(16)30349-8","title":"JOGC Self-Assessment Test","year":2003,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Test (biology); Medical physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009352348,0.0005747974,0.0008069178,0.001924776,0.0007213129,0.0006947248,0.0009647898,0.001057692,0.01600042],"category_scores_gemma":[0.007069373,0.0002122109,0.0010258,0.000653861,0.0004295322,0.0006539567,0.001247293,0.001108316,0.005202582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733971,"about_ca_system_score_gemma":0.001072204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0124953,"about_ca_topic_score_gemma":0.02241034,"domain_scores_codex":[0.9991578,0.0001010398,0.0001275502,0.0001019145,0.0003953992,0.0001162373],"domain_scores_gemma":[0.9949885,0.001017013,0.001091881,0.0002090257,0.001842175,0.000851469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003973054,0.0009719009,0.9260153,0.0001330622,0.0001968092,0.0003772554,0.0006152998,0.0003868599,0.001145635,0.0002177785,0.023405,0.04613774],"study_design_scores_gemma":[0.00008933181,0.0006727485,0.9839499,0.00008520322,0.0001010015,0.0008480729,0.000495765,0.0008070318,0.0006050597,0.0001464558,0.01215007,0.00004931527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8975498,0.001307615,0.000883688,0.001364468,0.0004882935,0.001178822,0.009670365,0.0005225324,0.08703446],"genre_scores_gemma":[0.9157125,0.0009655643,0.005908777,0.001142818,0.0001380417,0.001235958,0.01409521,0.000126687,0.06067442],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01600042,"threshold_uncertainty_score":0.05352676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006191849410539667,"score_gpt":0.2521038020279154,"score_spread":0.2459119526173757,"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."}}