{"id":"W4213354909","doi":"10.21203/rs.3.rs-1366779/v1","title":"Body Shape Phenotypes And Breast Cancer Risk: A Mendelian Randomization Analysis.","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ovarian Cancer Research Fund; Fondation du cancer du sein du Québec; Canadian Institutes of Health Research; Genome Canada; National Cancer Institute; National Institutes of Health; Institut National Du Cancer; Cancer Research UK; Government of Canada; European Commission; Breast Cancer Research Foundation","keywords":"Mendelian randomization; Breast cancer; Medicine; Oncology; Odds ratio; Body mass index; Internal medicine; Waist–hip ratio; Cancer; Confidence interval; Waist; Gynecology; Genotype; Biology; Genetics; Genetic variants","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02754913,0.001855734,0.001718556,0.001609015,0.0007370987,0.0008834629,0.0014685,0.001213077,0.004749611],"category_scores_gemma":[0.03034408,0.0006714768,0.004475143,0.001531917,0.001118438,0.0004676654,0.000825523,0.0009642623,0.0003895146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005104834,"about_ca_system_score_gemma":0.0008815839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003901707,"about_ca_topic_score_gemma":0.001878507,"domain_scores_codex":[0.9676837,0.02655697,0.000726891,0.003172106,0.001369657,0.0004906821],"domain_scores_gemma":[0.9765375,0.01598011,0.002632167,0.004061177,0.000463952,0.0003251591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.109153,0.001552754,0.6856222,0.001159381,0.06476945,0.004544858,0.001035044,0.01167743,0.02630451,0.01182971,0.005106484,0.0772451],"study_design_scores_gemma":[0.02262869,0.01576589,0.6579543,0.0002497419,0.0427606,0.009658457,0.0004259339,0.2210075,0.006517501,0.01509785,0.007547314,0.0003861532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161757,0.001397559,0.07853313,0.0003701294,0.0001538204,0.0007537049,0.001468115,0.0003971101,0.0007508122],"genre_scores_gemma":[0.9647934,0.0001821217,0.03279739,0.0001521589,0.00005248011,0.0005964398,0.0007510296,0.00007866937,0.0005963681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02754913,"threshold_uncertainty_score":0.1456955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409321788622953,"score_gpt":0.4126933311412831,"score_spread":0.3717611522789878,"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."}}