{"id":"W1953290087","doi":"10.1002/sim.6733","title":"Development of a diagnostic test based on multiple continuous biomarkers with an imperfect reference test","year":2015,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; U.S. Department of Defense","keywords":"Test (biology); Computer science; Imperfect; Statistics; Diagnostic test; Medicine; Mathematics; Biology; Pediatrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01692917,0.001212669,0.002738226,0.004388804,0.0005918245,0.002472796,0.002986366,0.002574085,0.001029225],"category_scores_gemma":[0.05036066,0.0009039672,0.001627096,0.002254908,0.001902078,0.002854177,0.00250023,0.002203613,0.0007058921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230078,"about_ca_system_score_gemma":0.002311122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188188,"about_ca_topic_score_gemma":0.001586408,"domain_scores_codex":[0.9896805,0.004880838,0.0006462582,0.002130998,0.002349897,0.0003114558],"domain_scores_gemma":[0.9780733,0.01487253,0.002286917,0.002060587,0.002255876,0.0004507436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0013268,0.0004426787,0.08417581,0.0009909883,0.001253355,0.001079408,0.000430176,0.2620336,0.02161599,0.05253772,0.003921133,0.5701924],"study_design_scores_gemma":[0.0001394476,0.0006314946,0.01051182,0.0001632372,0.0004386315,0.001532181,0.00007762825,0.9307631,0.01425012,0.03729059,0.004038583,0.00016309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01502729,0.0005614772,0.9830125,0.0003469133,0.0000297668,0.00007251867,0.0001056832,0.0003249943,0.0005188617],"genre_scores_gemma":[0.346321,0.0004616005,0.6512589,0.0004021792,0.0001172256,0.0003161368,0.0003987767,0.00007749364,0.0006466395],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01692917,"threshold_uncertainty_score":0.08953106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780357091141932,"score_gpt":0.3776192654494842,"score_spread":0.2998156945380649,"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."}}