{"id":"W4308571875","doi":"10.1186/s12885-022-10215-0","title":"Body mass index and incidence of lung cancer in the HUNT study: using observational and Mendelian randomization approaches","year":2022,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Norwegian Institute of Public Health; Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet; Medical Research Council; Helse Midt-Norge; Faculty of Medicine and Health, University of Sydney; Norges Teknisk-Naturvitenskapelige Universitet; Stiftelsen Kristian Gerhard Jebsen; University of Bristol; Kreftforeningen","keywords":"Mendelian randomization; Medicine; Body mass index; Lung cancer; Internal medicine; Hazard ratio; Observational study; Incidence (geometry); Quartile; Oncology; Confidence interval; Demography; Genotype; Genetics; Genetic variants; Biology","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":[0.03322149,0.0006186232,0.0008710768,0.001536548,0.0003499051,0.0009807238,0.001222673,0.0009578943,0.0007417712],"category_scores_gemma":[0.0614359,0.0007712168,0.002038895,0.001868239,0.0008158094,0.0006360994,0.0008706313,0.0006408002,0.000114098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000563829,"about_ca_system_score_gemma":0.00109795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102145,"about_ca_topic_score_gemma":0.00542194,"domain_scores_codex":[0.9505054,0.04300264,0.001534155,0.002383334,0.002180496,0.0003938531],"domain_scores_gemma":[0.9595575,0.02257194,0.008654059,0.007350315,0.001300699,0.0005655258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005615798,0.0002318269,0.968876,0.0001856813,0.00935142,0.0002903639,0.0003589522,0.002758919,0.0006657745,0.001780587,0.0007187345,0.009165878],"study_design_scores_gemma":[0.003718714,0.003098439,0.8936332,0.0001413257,0.007701098,0.001192632,0.0003666301,0.07940558,0.0013254,0.006532359,0.002711977,0.0001725833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607191,0.001665643,0.03450068,0.0002386157,0.0000775931,0.0005400873,0.001545177,0.0001089557,0.0006041104],"genre_scores_gemma":[0.9804901,0.0002485272,0.01767424,0.0001119033,0.00003964395,0.0004334495,0.0007966505,0.00001820774,0.0001872938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03322149,"threshold_uncertainty_score":0.1756941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0653958329387504,"score_gpt":0.3260358011555764,"score_spread":0.260639968216826,"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."}}