{"id":"W2171366344","doi":"10.1093/ije/dyp162","title":"Obesity and cancer: Mendelian randomization approach utilizing the FTO genotype","year":2009,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Ontario Institute for Cancer Research","funders":"National Cancer Institute; European Commission","keywords":"Mendelian randomization; Medicine; Odds ratio; Obesity; Confounding; Confidence interval; Genotype; Cancer; Lung cancer; Oncology; Internal medicine; Allele; Body mass index; Bioinformatics; Genetics; Biology; Gene; Genetic variants","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":[0.002502974,0.0001036565,0.0002889272,0.00006234115,0.00007519258,0.000008654866,0.0003082628,0.0001449449,0.00001496558],"category_scores_gemma":[0.002407508,0.00006921873,0.0001075879,0.00004300991,0.00009319354,0.000006380763,0.00005304613,0.0001513568,0.000001061703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113509,"about_ca_system_score_gemma":0.00006888157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003690229,"about_ca_topic_score_gemma":0.00001088502,"domain_scores_codex":[0.9984238,0.0005471705,0.0005860515,0.0001692031,0.0000929372,0.0001808591],"domain_scores_gemma":[0.9986746,0.0002566448,0.0005490992,0.0001192481,0.0003375038,0.00006286839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002142287,0.0003888038,0.6045402,0.0000120344,0.001709371,0.00001262152,0.0004793429,0.0231654,0.04514997,0.02130827,0.05059083,0.2505008],"study_design_scores_gemma":[0.00570152,0.0008708239,0.8466959,0.00003969869,0.0001830975,0.0007818562,0.0004649211,0.006284242,0.001138061,0.02623083,0.111194,0.0004150779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045994,0.01140777,0.05828101,0.02240917,0.001050749,0.0001751694,0.00001565135,0.00000610331,0.002055016],"genre_scores_gemma":[0.9815091,0.005911973,0.007395003,0.004254317,0.0007997277,0.000003662617,0.00002863737,0.000005687661,0.00009185285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2500857,"threshold_uncertainty_score":0.2882185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113646516331391,"score_gpt":0.3308961525987768,"score_spread":0.2997596874354629,"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."}}