{"id":"W2404198485","doi":"10.1503/cmaj.080922","title":"Performance review","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whirlwind; Metropolitan area; Computer science; Medical diagnosis; Medical education; Medicine; Pathology; Engineering","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":[0.04412415,0.001474502,0.003422551,0.01138876,0.001734785,0.006401194,0.004034106,0.004478014,0.084529],"category_scores_gemma":[0.2204342,0.001034374,0.002688062,0.01528152,0.001401327,0.004456615,0.002774425,0.00476818,0.04373228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01092632,"about_ca_system_score_gemma":0.0499328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01861494,"about_ca_topic_score_gemma":0.02611029,"domain_scores_codex":[0.9489695,0.01956513,0.009654444,0.001859705,0.01793439,0.00201677],"domain_scores_gemma":[0.7265731,0.04439859,0.02618869,0.008407357,0.1858013,0.008630951],"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":[0.00003653577,0.00001011168,0.00007993468,0.004794286,0.00006770666,0.00002041421,0.00002445503,0.00001712162,0.0000196059,0.0004119664,0.9312626,0.06325517],"study_design_scores_gemma":[0.0000540481,0.00003096593,0.00121706,0.02568392,0.0001216773,0.00007800024,0.00008922513,0.00002450424,0.00003669259,0.0006074073,0.9720368,0.00001973436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.0002238668,0.5930743,0.001228051,0.2527957,0.09509657,0.001399065,0.00491113,0.0002591816,0.05101206],"genre_scores_gemma":[0.006947688,0.7759786,0.004095817,0.08379065,0.05581404,0.003071727,0.007207796,0.0003417908,0.06275192],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.084529,"threshold_uncertainty_score":0.2827777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045887052228585,"score_gpt":0.3797134806761627,"score_spread":0.3392546101538769,"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."}}