{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007292395,0.0002361401,0.0002818002,0.001022959,0.0004101609,0.0007383878,0.0006232347,0.0004513498,0.001587228],"category_scores_gemma":[0.002601049,0.0002098171,0.0004631902,0.001516827,0.0004729858,0.000231504,0.0003092475,0.000487456,0.0001438169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622497,"about_ca_system_score_gemma":0.00188418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3721718,"about_ca_topic_score_gemma":0.4364735,"domain_scores_codex":[0.9996649,0.00004918897,0.00001953019,0.00005758801,0.0001385766,0.00007018237],"domain_scores_gemma":[0.9987661,0.0002749726,0.0003762411,0.00006900143,0.0001612405,0.0003525369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009949212,0.00001335041,0.9974353,0.00002058381,0.0001039294,0.00003295515,0.00002791498,0.00005519123,0.0001869934,0.00004033978,0.00007369593,0.001910361],"study_design_scores_gemma":[0.000001965956,0.00001966601,0.9995566,0.000004640191,0.0000382918,0.00004536439,0.00002034657,0.0001197392,0.00002140605,0.00002697702,0.0001435171,0.000001462209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989436,0.00721788,0.0002253624,0.0002769379,0.00001594873,0.000022348,0.0009674038,0.00001663801,0.001821538],"genre_scores_gemma":[0.9961897,0.001965582,0.0003775666,0.00005190078,0.00002286039,0.000007751198,0.0007128019,0.000003910533,0.0006678806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3721718,"threshold_uncertainty_score":0.740011,"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."}}