{"id":"W4294655699","doi":"","title":"Multivariable prediction model for suspected giant cell arteritis: development and validation","year":2017,"lang":"en","type":"article","venue":"Dove Medical Press (Taylor and Francis Group)","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Giant cell arteritis; Multivariable calculus; Computer science; Artificial intelligence; Medicine; Vasculitis; Internal medicine; Engineering; Disease; Control engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01410951,0.001305201,0.001479601,0.002030474,0.0005556137,0.001636852,0.001443863,0.001036196,0.002174149],"category_scores_gemma":[0.02596271,0.0005065379,0.001517766,0.001039447,0.0002961152,0.0009476267,0.001325118,0.002228912,0.0006676851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704628,"about_ca_system_score_gemma":0.001973179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008480727,"about_ca_topic_score_gemma":0.004385731,"domain_scores_codex":[0.9967687,0.002012614,0.0002262622,0.0004152064,0.0004130246,0.0001641673],"domain_scores_gemma":[0.9854276,0.01059811,0.0005691664,0.0006645272,0.002375313,0.0003653583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005334517,0.003034411,0.588229,0.0004091448,0.002345673,0.0006344941,0.0004596354,0.1356531,0.002542298,0.002111087,0.01167109,0.2475755],"study_design_scores_gemma":[0.0002042638,0.0004989493,0.02404102,0.00004846802,0.0002476622,0.0001588878,0.0001151126,0.9725177,0.0004353798,0.0009712348,0.000732952,0.00002844447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7452722,0.001969499,0.2430118,0.001425895,0.0004839046,0.0009743238,0.003362321,0.001785314,0.001714737],"genre_scores_gemma":[0.9460041,0.0005455523,0.04902731,0.0001560079,0.0001229952,0.0005093018,0.002963636,0.0000918684,0.0005791564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410951,"threshold_uncertainty_score":0.07461911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995932929191078,"score_gpt":0.2324305061966633,"score_spread":0.2124711769047525,"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."}}