{"id":"W3177842341","doi":"10.1158/1538-7445.am2021-817","title":"Abstract 817: Probing the diabetes - colorectal cancer link using gene - environment interaction analyses","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Colorectal cancer; Odds ratio; Confidence interval; Oncology; Internal medicine; Medicine; Type 2 diabetes; Genome-wide association study; Logistic regression; Allele; Cancer; Diabetes mellitus; Genetics; Biology; Gene; Genotype; Single-nucleotide polymorphism; Endocrinology","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":[0.008825317,0.001328919,0.001384282,0.002481037,0.0007533615,0.001372501,0.001355098,0.0007731174,0.008143278],"category_scores_gemma":[0.01674609,0.000371149,0.004440626,0.002906616,0.000700095,0.0006933738,0.001653963,0.00144458,0.0004356121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004765118,"about_ca_system_score_gemma":0.001028133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004981464,"about_ca_topic_score_gemma":0.004741522,"domain_scores_codex":[0.9851392,0.0108708,0.0004714144,0.002061622,0.00088572,0.000571289],"domain_scores_gemma":[0.9775012,0.01807983,0.001674273,0.001545735,0.000530432,0.0006685679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004705033,0.0003158296,0.9251125,0.0005998105,0.021565,0.001149409,0.0002604058,0.003281884,0.01044349,0.001906691,0.002034117,0.02862577],"study_design_scores_gemma":[0.0003699326,0.002185074,0.9466966,0.00006765786,0.01104738,0.00103689,0.0002704583,0.0291888,0.002572834,0.003716809,0.002768709,0.00007870553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951052,0.002111635,0.03946634,0.0007243854,0.0001188734,0.0001372038,0.004216759,0.0004658465,0.001706865],"genre_scores_gemma":[0.984837,0.0002068835,0.01238963,0.0001491708,0.00006572149,0.0001679352,0.001263462,0.00006670605,0.0008535452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008825317,"threshold_uncertainty_score":0.0466733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371199039895808,"score_gpt":0.4442337061343164,"score_spread":0.3071138021447356,"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."}}