{"id":"W2052951278","doi":"10.1111/j.0006-341x.2001.00598.x","title":"Case–Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities","year":2001,"lang":"en","type":"article","venue":"Biometrics","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; BC Cancer Agency; University of British Columbia","funders":"","keywords":"Bayes' theorem; Statistics; Odds; Computer science; Odds ratio; Control (management); Prior probability; Bayesian probability; Mathematics; Econometrics; Artificial intelligence; Logistic regression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.07545134,0.001533129,0.00273016,0.002570988,0.001279408,0.002357585,0.00416427,0.00364479,0.003930532],"category_scores_gemma":[0.2273581,0.0009259921,0.002405002,0.002583032,0.003399078,0.002692269,0.001984378,0.002493649,0.0004067784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305053,"about_ca_system_score_gemma":0.001255987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007115073,"about_ca_topic_score_gemma":0.003206803,"domain_scores_codex":[0.9573259,0.03096179,0.002069859,0.00495864,0.003794226,0.0008895206],"domain_scores_gemma":[0.8465645,0.1304149,0.00884561,0.01180255,0.001964888,0.0004075369],"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":[0.004702695,0.001231108,0.1746738,0.001549902,0.008865745,0.006400168,0.001564559,0.1642486,0.002518033,0.4516358,0.005426745,0.1771829],"study_design_scores_gemma":[0.0009556789,0.001443307,0.03972478,0.0003705628,0.004063763,0.002582208,0.0003538156,0.4506072,0.002930966,0.4883893,0.008362315,0.0002160669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1411377,0.004320402,0.8442637,0.004337065,0.0005066554,0.0008315602,0.0007843922,0.0002383271,0.003580197],"genre_scores_gemma":[0.8460893,0.001651567,0.1466118,0.001058675,0.0002868539,0.001525514,0.0007558123,0.00002365442,0.001996847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07545134,"threshold_uncertainty_score":0.3990296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616375994058054,"score_gpt":0.4060722638635694,"score_spread":0.244434664457764,"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."}}