{"id":"W4231629041","doi":"10.1503/cmaj.091384","title":"Unprepared","year":2013,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine; White coat; World Wide Web; Family medicine; Radiology","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":[0.002618061,0.001143918,0.000840159,0.0008860881,0.006838419,0.004946254,0.00205445,0.008127726,0.08770206],"category_scores_gemma":[0.03313886,0.0004876032,0.0009575211,0.0003616197,0.002917328,0.005665485,0.004003614,0.02155531,0.04653976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109293,"about_ca_system_score_gemma":0.004665143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004291023,"about_ca_topic_score_gemma":0.007687171,"domain_scores_codex":[0.9958353,0.00124072,0.0002167721,0.0006754696,0.001310088,0.0007216455],"domain_scores_gemma":[0.9817504,0.001619844,0.0005578087,0.000811671,0.008304728,0.00695552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004788658,0.00004001001,0.0006995017,0.00006871417,0.00001197248,0.002609955,0.001094506,0.0000250187,0.0002565161,0.003251621,0.9687205,0.02317373],"study_design_scores_gemma":[0.00001140009,0.00003780207,0.000748752,0.0002534599,0.00001189771,0.00361688,0.003756347,0.00004074601,0.0001661744,0.004813127,0.9865029,0.00004044161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002831511,0.004859332,0.001790679,0.7727619,0.1753378,0.00007224837,0.0003019466,0.0004660679,0.0415785],"genre_scores_gemma":[0.02556605,0.004664732,0.002427366,0.6687114,0.04257551,0.0001302643,0.0005719253,0.0008599001,0.2544928],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08770206,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.052691284122224,"score_gpt":0.4348090153834998,"score_spread":0.3821177312612757,"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."}}