{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002283537,0.0001351881,0.0003304909,0.0002166132,0.0001445043,0.00008327495,0.0001737327,0.00009207557,0.0002507886],"category_scores_gemma":[0.01842282,0.000120635,0.00006252843,0.0001474554,0.00006268197,0.0004117896,0.000008766443,0.0002220238,0.000009088734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591119,"about_ca_system_score_gemma":0.0006984724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844279,"about_ca_topic_score_gemma":0.0003184368,"domain_scores_codex":[0.9984224,0.0002008427,0.0007393741,0.00004427673,0.0001404873,0.0004526586],"domain_scores_gemma":[0.9945372,0.003325333,0.0004733448,0.0001278123,0.0007564859,0.0007798726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001627355,0.00001265459,0.0008649371,0.0001300327,0.00005364605,0.000003244251,0.001710916,0.000005040663,0.00003194246,0.8498497,0.01927605,0.1280456],"study_design_scores_gemma":[0.001046078,0.0003323946,0.006969327,0.0001552404,0.0003500616,0.0001493244,0.001212567,0.003836853,0.0004555348,0.8604712,0.1246056,0.0004158319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005521884,0.000135118,0.9965272,0.0001026007,0.001140044,0.0001624329,0.0007048169,0.000006241196,0.0006693473],"genre_scores_gemma":[0.03006942,0.000007154547,0.9693985,0.0002272048,0.000218792,0.000005076927,0.00001571387,0.00001756707,0.00004054475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1276297,"threshold_uncertainty_score":0.9898454,"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."}}