{"id":"W2528012266","doi":"10.1016/j.jcjo.2016.05.021","title":"Clinical predictors of positive temporal artery biopsy","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Alberta; University of Ottawa; Université Laval","funders":"","keywords":"Medicine; Biopsy; Giant cell arteritis; Erythrocyte sedimentation rate; Receiver operating characteristic; Prospective cohort study; Predictive value of tests; Internal medicine; Radiology; Cohort; Surgery; Vasculitis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006010614,0.0004221196,0.0003660807,0.001636158,0.0008307738,0.001143948,0.0005057353,0.001069552,0.006650475],"category_scores_gemma":[0.006144905,0.0003274457,0.0004057461,0.001303762,0.0009031373,0.001084291,0.0005244796,0.001281892,0.000725586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329248,"about_ca_system_score_gemma":0.001274748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004759426,"about_ca_topic_score_gemma":0.007238377,"domain_scores_codex":[0.9993912,0.0000996876,0.0000774859,0.00005638041,0.0001549352,0.0002203788],"domain_scores_gemma":[0.9944722,0.001921747,0.001441601,0.0002178624,0.0006027482,0.001343862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004156818,0.00005561941,0.9917031,0.0000138359,0.00002911969,0.00407415,0.00006268446,0.00006795669,0.0009395475,0.00008330454,0.0003749285,0.00218021],"study_design_scores_gemma":[0.00001948242,0.0001763771,0.9743042,0.00005329299,0.0001011065,0.02237493,0.0008038917,0.0006752679,0.0004960378,0.0003666599,0.0006016534,0.00002723718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893336,0.001345733,0.0001867863,0.0005037133,0.00006739812,0.00001840697,0.0002819647,0.00001767827,0.008244716],"genre_scores_gemma":[0.9989825,0.0003500972,0.00009340417,0.00007762836,0.00008156031,0.000007381388,0.0001433883,0.000003589344,0.0002604919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952406,"threshold_uncertainty_score":0.02224809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458156952636908,"score_gpt":0.3006834089676539,"score_spread":0.2761018394412848,"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."}}