{"id":"W2578163193","doi":"10.1111/add.13709","title":"Selection bias and relationships between alcohol consumption and mortality","year":2017,"lang":"en","type":"letter","venue":"Addiction","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Observational study; Alcohol consumption; Selection bias; Affect (linguistics); Selection (genetic algorithm); Consumption (sociology); Alcohol; Environmental health; Medicine; Psychology; Demography; Biology; Internal medicine; Computer science; Sociology; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03140495,0.001082323,0.003169603,0.001922906,0.004401602,0.004449203,0.004469313,0.0558105,0.008878209],"category_scores_gemma":[0.2838784,0.001397173,0.002218499,0.002724448,0.00676927,0.003887264,0.003246699,0.04193032,0.00564307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006572021,"about_ca_system_score_gemma":0.01181258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351239,"about_ca_topic_score_gemma":0.01534539,"domain_scores_codex":[0.9706377,0.0159032,0.004143603,0.002122727,0.005837551,0.001355272],"domain_scores_gemma":[0.7222844,0.2377556,0.01347919,0.003996619,0.01767156,0.004812712],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008969173,0.00001396306,0.001154805,0.0002813293,0.0001104422,0.0003427002,0.0002191166,0.00004413617,0.00002877015,0.002069892,0.990347,0.00529814],"study_design_scores_gemma":[0.001162976,0.0001456081,0.006370428,0.007079252,0.001064963,0.00167904,0.001515906,0.001266344,0.0003701774,0.04120565,0.9378827,0.0002569919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001966055,0.001604245,0.00006921587,0.9751877,0.02201838,0.00001075248,0.0001430514,0.000009769351,0.0007603584],"genre_scores_gemma":[0.002729884,0.001024545,0.0001556114,0.9174983,0.07746539,0.00006553507,0.00005275425,0.00002039377,0.0009876139],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.968595,"threshold_uncertainty_score":0.1660872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.179227697548215,"score_gpt":0.3448061847830824,"score_spread":0.1655784872348674,"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."}}