{"id":"W2180080094","doi":"10.1371/journal.pone.0143256","title":"Body Mass Index Genetic Risk Score and Endometrial Cancer Risk","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; Alberta Health Services","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Endometrial cancer; Body mass index; Genome-wide association study; Risk factor; Medicine; Internal medicine; Oncology; Obesity; Genotype; Allele; Gynecology; Cancer; Genetics; Biology; Single-nucleotide polymorphism; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001201042,0.0003594168,0.0004390953,0.00150213,0.0002384253,0.0006845536,0.0002876831,0.0005150511,0.002950251],"category_scores_gemma":[0.007404324,0.000228815,0.00109634,0.001682116,0.0003029783,0.0002286682,0.0005179644,0.0007718347,0.0003276624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506009,"about_ca_system_score_gemma":0.0002856356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002951795,"about_ca_topic_score_gemma":0.002481332,"domain_scores_codex":[0.9992544,0.0003023885,0.00006116887,0.0001601208,0.0001578036,0.00006400981],"domain_scores_gemma":[0.9975026,0.000901648,0.0008497299,0.0003075502,0.0001583042,0.0002801142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001029688,0.00001923878,0.9903632,0.00005652564,0.001115549,0.0001890041,0.00003764748,0.0003387343,0.001361502,0.0001533787,0.000268713,0.005066859],"study_design_scores_gemma":[0.00004306737,0.0001218044,0.9965023,0.00001768624,0.0003926131,0.0006602741,0.00002607053,0.001260865,0.000144511,0.0003763799,0.0004468449,0.000007611295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919634,0.00347265,0.001040294,0.0002436279,0.0000417303,0.00002659038,0.001294923,0.00006547185,0.001851318],"genre_scores_gemma":[0.9976436,0.0004309111,0.0008019303,0.0000345343,0.00003037086,0.00001631624,0.0006144993,0.00001325687,0.0004146162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002951795,"threshold_uncertainty_score":0.009869576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03725726014029634,"score_gpt":0.269348782758783,"score_spread":0.2320915226184866,"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."}}