{"id":"W4406511756","doi":"10.1016/j.yoph.2016.02.023","title":"10.1016/j.yoph.2016.02.023","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Giant cell arteritis; Arteritis; Temporal artery; Distribution (mathematics); Pathology; Vasculitis; Mathematical analysis; Disease","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003962185,0.0006905263,0.0004573381,0.0007872356,0.0007851813,0.001668498,0.0005025601,0.002313978,0.8135291],"category_scores_gemma":[0.0009526736,0.0003116888,0.0003784382,0.0003371789,0.000592802,0.001822037,0.0009519709,0.001688741,0.6034482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006060818,"about_ca_system_score_gemma":0.001061342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002115762,"about_ca_topic_score_gemma":0.002714135,"domain_scores_codex":[0.999824,0.00001956344,0.00001362404,0.00003733497,0.00005201641,0.00005360099],"domain_scores_gemma":[0.9994007,0.00007820975,0.00008814011,0.00002322713,0.0001183199,0.0002913436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003723257,0.000362041,0.008608455,0.0006603359,0.00004265692,0.001286782,0.0001656928,0.000103238,0.0006797861,0.004307874,0.3908101,0.5926006],"study_design_scores_gemma":[0.0001021531,0.0001675372,0.01052369,0.001902174,0.00003534513,0.008583368,0.0004015075,0.0001417817,0.0003050975,0.004294818,0.9735169,0.00002552565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007018311,0.03544508,0.001289152,0.02373718,0.004147794,0.0001136268,0.002370726,0.0008605262,0.9250176],"genre_scores_gemma":[0.03365642,0.01993618,0.002177652,0.007399836,0.003941969,0.0001012708,0.001575426,0.0002205998,0.9309906],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1864709,"threshold_uncertainty_score":0.2659782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005099765882096192,"score_gpt":0.1870506193613662,"score_spread":0.18195085347927,"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."}}