{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785901,0.00006069162,0.0001181075,0.0000283126,0.0001004023,0.000006243826,0.00007187657,0.00003412973,0.00001802119],"category_scores_gemma":[0.00005458317,0.00005037131,0.0000164171,0.0001004295,0.00003402014,0.000003036494,0.00008170814,0.00005468498,9.194842e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003632044,"about_ca_system_score_gemma":0.0001253045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191377,"about_ca_topic_score_gemma":0.001672693,"domain_scores_codex":[0.9992277,0.0002380646,0.000173945,0.0001713102,0.00009758583,0.00009140581],"domain_scores_gemma":[0.999716,0.00003914008,0.000114594,0.00008906714,0.00002837507,0.00001281356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008283935,0.00002453126,0.953407,0.00001036748,0.00002449753,1.173992e-7,0.0003155946,0.0412941,0.004517525,0.00002770816,0.00006707033,0.000228639],"study_design_scores_gemma":[0.001375808,0.00004281043,0.9341078,0.000004303465,0.00002966381,0.000001481378,0.00141403,0.06263772,0.00009169977,0.00007171697,0.0001535081,0.00006944477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955844,0.002112883,0.001690025,0.0001845064,0.0000490292,0.0003247469,0.00003117992,0.000001051254,0.00002221499],"genre_scores_gemma":[0.9989509,0.0002055626,0.0003516955,0.0001280928,0.00005065456,0.0002579895,0.00001608558,0.000005225766,0.00003376905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02134362,"threshold_uncertainty_score":0.2054082,"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."}}