{"id":"W2766434410","doi":"10.1002/sim.7522","title":"Weighted estimation for confounded binary outcomes subject to misclassification","year":2017,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Covariate; Estimator; Statistics; Logistic regression; Confounding; Computer science; Estimation; Inverse probability; Econometrics; Inverse probability weighting; Consistency (knowledge bases); Identification (biology); Mathematics; Artificial intelligence; Posterior probability","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006605479,0.0001615944,0.0003754033,0.0001611469,0.0001795764,0.00002907001,0.0003014845,0.00007503601,0.0000631294],"category_scores_gemma":[0.01200927,0.0001321072,0.00001717147,0.00006385861,0.0001819783,0.0001117689,0.00004318471,0.0001234428,0.00001021502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425531,"about_ca_system_score_gemma":0.00004525783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006618059,"about_ca_topic_score_gemma":0.0001702827,"domain_scores_codex":[0.9988207,0.00003361659,0.0004525632,0.0002320176,0.0002446101,0.0002165187],"domain_scores_gemma":[0.9971729,0.001569364,0.0003128475,0.0006495685,0.0002177064,0.00007764994],"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":[0.00006027299,0.00006172657,0.001786374,0.0001557388,0.00001687499,0.00001051998,0.0005704776,0.000004536176,0.002404705,0.9578194,0.0159941,0.02111527],"study_design_scores_gemma":[0.0008515369,0.0003061075,0.01601801,0.0002032441,0.00003610973,0.000001653071,0.0001101054,0.0107717,0.001074731,0.9697453,0.0007157731,0.0001657517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009126054,0.000007642056,0.9847949,0.002928382,0.0002416968,0.0009816721,0.0001056723,0.0001196852,0.001694343],"genre_scores_gemma":[0.2781017,0.00001170545,0.72071,0.0001604024,0.00005220443,0.0002025868,0.00008735901,0.00002488052,0.0006491998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2689756,"threshold_uncertainty_score":0.996313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1944144356836242,"score_gpt":0.500652691376323,"score_spread":0.3062382556926987,"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."}}