{"id":"W2162923601","doi":"10.1002/cjs.10044","title":"Nonparametric covariate adjustment for receiver operating characteristic curves","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Covariate; Nonparametric statistics; Receiver operating characteristic; Estimator; Statistics; Mathematics; Consistency (knowledge bases); Asymptotic distribution; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02931292,0.0007581735,0.001389378,0.002568343,0.0005640548,0.001349153,0.002648432,0.001511003,0.002588716],"category_scores_gemma":[0.2117792,0.0006004017,0.001793841,0.003574056,0.001434399,0.001505547,0.001796266,0.002782086,0.0007123798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860661,"about_ca_system_score_gemma":0.00195678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004703977,"about_ca_topic_score_gemma":0.002629664,"domain_scores_codex":[0.9523132,0.03854025,0.00112991,0.003325795,0.004098747,0.0005921118],"domain_scores_gemma":[0.9060497,0.06683349,0.007867681,0.01239739,0.006427342,0.0004244287],"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":[0.001420086,0.0002961796,0.04844226,0.000814885,0.002017295,0.0006785892,0.0006968559,0.2332548,0.005775065,0.1266876,0.01700187,0.5629146],"study_design_scores_gemma":[0.0001847189,0.0006151954,0.0392142,0.0001921958,0.0002783918,0.000660053,0.0001141389,0.7674145,0.004676912,0.1616341,0.0248142,0.0002012534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007554647,0.0004435903,0.9900899,0.0002587311,0.00008857645,0.0001505742,0.0001994832,0.0005309897,0.0006835189],"genre_scores_gemma":[0.4630575,0.0003973794,0.5314293,0.0004906356,0.0002052253,0.001047372,0.001009833,0.0004288531,0.001933936],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02931292,"threshold_uncertainty_score":0.1550234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08102564128087644,"score_gpt":0.3487683950876566,"score_spread":0.2677427538067801,"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."}}