{"id":"W1484456896","doi":"10.1002/ijc.28185","title":"Body mass index, lifetime smoking intensity and lung cancer risk","year":2013,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research","keywords":"Underweight; Medicine; Body mass index; Overweight; Odds ratio; Lung cancer; Population; Confidence interval; Demography; Confounding; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000142527,0.000117455,0.0002689062,0.0001736159,0.0000344738,0.00006568857,0.0001354269,0.00006617218,0.001729936],"category_scores_gemma":[0.00006365431,0.00008978499,0.0001131895,0.00006348139,0.00006207949,0.0002554147,0.00004278665,0.0004053066,0.000003068055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101457,"about_ca_system_score_gemma":0.0002163739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005507267,"about_ca_topic_score_gemma":0.000207808,"domain_scores_codex":[0.9988132,0.00001600112,0.0003596368,0.0001235708,0.000543452,0.0001441456],"domain_scores_gemma":[0.9982833,0.00004007131,0.0004123498,0.00007562945,0.001021293,0.0001673312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002994283,0.00002405344,0.9581594,0.00001149265,0.0008973607,0.00003444868,0.0001586913,0.00009790291,0.001894575,0.00001125352,0.006779143,0.03163224],"study_design_scores_gemma":[0.001715379,0.00006576721,0.9807895,0.0003680777,0.0002429675,0.0001227759,0.00007260546,0.001982718,0.0008199968,0.000242928,0.01346967,0.0001076091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871721,0.00582467,0.0005755586,0.003772627,0.002168429,0.0001190418,0.00003688955,0.00001114514,0.0003194885],"genre_scores_gemma":[0.9901423,0.006673482,0.0001046237,0.001129119,0.001602943,0.00001176163,0.000001443069,0.00001646925,0.0003177854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03152463,"threshold_uncertainty_score":0.9991826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008253927653582464,"score_gpt":0.3193033476826157,"score_spread":0.3110494200290332,"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."}}