{"id":"W2805034135","doi":"10.1186/s12885-018-4124-0","title":"Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies","year":2018,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; National Institutes of Health; Fondation de France; European Commission; World Health Organization","keywords":"Medicine; Underweight; Body mass index; Overweight; Nested case-control study; Lung cancer; Odds ratio; Internal medicine; Confidence interval; Obesity; Cohort study; Cohort; Risk factor","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":[],"consensus_categories":[],"category_scores_codex":[0.03411315,0.003051674,0.007345987,0.007494238,0.0008024517,0.002697622,0.001582502,0.001630837,0.001315494],"category_scores_gemma":[0.04805917,0.002273214,0.02870109,0.004994745,0.0006316265,0.0009885592,0.002111364,0.000899111,0.000195241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011029,"about_ca_system_score_gemma":0.00164576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008300507,"about_ca_topic_score_gemma":0.01217441,"domain_scores_codex":[0.9756749,0.01338962,0.004610621,0.003551466,0.002133862,0.0006395377],"domain_scores_gemma":[0.9635899,0.01876575,0.007836014,0.00533451,0.003827398,0.0006464064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.007354663,0.0001026777,0.3342396,0.005172717,0.6410066,0.0003739256,0.0002157392,0.001569704,0.001857747,0.00005681939,0.000374274,0.007675444],"study_design_scores_gemma":[0.00103147,0.0009283747,0.2056603,0.0008872281,0.7867606,0.0005118472,0.0001656795,0.002111111,0.0005811455,0.0002103959,0.001061901,0.00008994577],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7371008,0.2228769,0.03005919,0.0003378375,0.0004962994,0.001587864,0.006422929,0.0003443799,0.0007738846],"genre_scores_gemma":[0.9697891,0.014416,0.01025409,0.0001797687,0.0001259273,0.001048303,0.003902125,0.00005993072,0.0002247184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03411315,"threshold_uncertainty_score":0.1804097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374657410915288,"score_gpt":0.3604692393998801,"score_spread":0.3267226652907272,"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."}}