{"id":"W2331519235","doi":"10.1158/1538-7445.am2012-2927","title":"Abstract 2927: MicroRNA binding site polymorphisms influence ovarian cancer risk in the collaborative oncological gene-environment study","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coalition for Research in Women's Health; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Single-nucleotide polymorphism; microRNA; Biology; Minor allele frequency; Ovarian cancer; SNP; Carcinogenesis; Odds ratio; Serous fluid; Cancer; Genotype; Genetics; Oncology; Gene; Bioinformatics; Internal medicine; Medicine","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":[0.001513923,0.000339612,0.0004848426,0.0006558364,0.0007540894,0.0007262712,0.0004298362,0.00050246,0.002549059],"category_scores_gemma":[0.005557918,0.0002388467,0.0006844528,0.001482754,0.0002660595,0.0001766521,0.000502711,0.0006435933,0.00022181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724334,"about_ca_system_score_gemma":0.0004170623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139651,"about_ca_topic_score_gemma":0.01083787,"domain_scores_codex":[0.9981945,0.00075661,0.0001358014,0.0004954964,0.0002632963,0.0001542908],"domain_scores_gemma":[0.995787,0.001590622,0.001035252,0.0005543865,0.0003749397,0.000657842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007773802,0.00003205018,0.9957963,0.00001788176,0.0003559344,0.000185861,0.00009592198,0.0001182321,0.001103067,0.00009179216,0.000431402,0.0009941853],"study_design_scores_gemma":[0.00007858012,0.0001245037,0.9970884,0.00001138128,0.0003409578,0.0003435804,0.0001256278,0.0006672685,0.000302515,0.0001174549,0.0007922155,0.000007519625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960515,0.0004488649,0.000527632,0.0001833711,0.00002194307,0.00002000025,0.001686435,0.000009011183,0.00105119],"genre_scores_gemma":[0.9989718,0.00006745657,0.0002070016,0.00003708154,0.00001351215,0.00001516254,0.0003995766,0.000008625626,0.0002797688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0139651,"threshold_uncertainty_score":0.0277676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03936133096136812,"score_gpt":0.3758516539203667,"score_spread":0.3364903229589986,"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."}}