{"id":"W2953583725","doi":"10.1093/aje/kwz160","title":"The Effects of Reverse Causality and Selective Attrition on the Relationship Between Body Mass Index and Mortality in Postmenopausal Women","year":2019,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Agriculture and Life Sciences, University of Arizona; University of Oklahoma Health Sciences Center; School of Medicine, Stanford University; MedStar Health Research Institute; Department of Physiology and Biophysics, University at Buffalo; University at Buffalo; University of Oklahoma; University of Washington; McGill University; Kaiser Permanente; Brigham and Women's Hospital; University of Minnesota; National Heart, Lung, and Blood Institute; University of Nevada, Reno; National Institutes of Health; Ohio State University; University of Pittsburgh; Wake Forest University","keywords":"Causality (physics); Body mass index; Attrition; Medicine; Postmenopausal women; Index (typography); Internal medicine; Physiology; Dentistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003038063,0.00008483556,0.0005798734,0.00007153675,0.00004352644,0.00000212902,0.00004954905,0.00005012678,0.000003892228],"category_scores_gemma":[0.005023978,0.00004516917,0.00003678077,0.0001604936,0.0004511005,0.00003684434,0.00001554177,0.0004639284,4.999796e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320266,"about_ca_system_score_gemma":0.00006750099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008294944,"about_ca_topic_score_gemma":0.00002613225,"domain_scores_codex":[0.9980042,0.001133029,0.0004696899,0.0001183234,0.00009059018,0.00018418],"domain_scores_gemma":[0.9835601,0.01552794,0.000620178,0.000142436,0.00006158301,0.00008780261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004499572,0.00001819151,0.996901,0.00002619576,0.00009677121,0.000003906408,0.0002458396,0.000002744128,0.0002688794,0.0008365959,0.00007716747,0.00107278],"study_design_scores_gemma":[0.0006938474,0.003355946,0.9888549,0.00008779737,0.00004965509,0.00002307209,0.0005301476,0.00001012144,0.00002524803,0.006236209,0.00009269386,0.00004033516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965824,0.0002766469,0.00004077769,0.002743601,0.00006759761,0.0002297373,0.000005108509,0.0000017276,0.00005237733],"genre_scores_gemma":[0.9990317,0.0002930054,0.00003645987,0.0005532655,0.0000633306,0.000004688372,0.000001201699,0.00000545407,0.0000108954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01444413,"threshold_uncertainty_score":0.6014534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987116423366845,"score_gpt":0.3562420138205588,"score_spread":0.3163708495868903,"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."}}