{"id":"W2148558714","doi":"10.1002/cjs.11145","title":"Information borrowing methods for covariate‐adjusted ROC curve","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Nonparametric statistics; Statistics; Receiver operating characteristic; Econometrics; Sample size determination; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.04062748,0.001553185,0.002513432,0.004595181,0.0005996813,0.001896121,0.00359266,0.002364986,0.004468677],"category_scores_gemma":[0.1704729,0.001186057,0.002515676,0.00421984,0.002340114,0.003510222,0.004777133,0.00346292,0.001351831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316367,"about_ca_system_score_gemma":0.001499808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236448,"about_ca_topic_score_gemma":0.0006378584,"domain_scores_codex":[0.9708827,0.02386461,0.0009640237,0.001675908,0.002289963,0.0003227888],"domain_scores_gemma":[0.8588769,0.1162654,0.006228947,0.01301854,0.004902816,0.0007073715],"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":[0.0005704166,0.0001732794,0.006228432,0.0006746063,0.0008281557,0.000384237,0.0005402208,0.2956236,0.002084448,0.1852494,0.0049638,0.5026793],"study_design_scores_gemma":[0.00006751509,0.0001575111,0.001785906,0.000120552,0.00009919193,0.0001852432,0.00003525509,0.8236849,0.001069127,0.1688251,0.003890835,0.0000788518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001875491,0.0003430941,0.997057,0.000140599,0.00001667925,0.00007309665,0.00005954317,0.0001973342,0.0002371509],"genre_scores_gemma":[0.18078,0.0009552147,0.8138708,0.0003037388,0.0002387713,0.001178019,0.000605597,0.0003122627,0.001755486],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04062748,"threshold_uncertainty_score":0.2148612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.184366292314118,"score_gpt":0.4082612822525598,"score_spread":0.2238949899384418,"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."}}