{"id":"W2896623165","doi":"10.3389/fonc.2018.00490","title":"GEMO, a National Resource to Study Genetic Modifiers of Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Pathogenic Variant Carriers","year":2018,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Unicancer; Fondation ARC pour la Recherche sur le Cancer; Canadian Institutes of Health Research; Institut National Du Cancer; European Commission","keywords":"Ovarian cancer; Breast cancer; Oncology; Medicine; Cancer; Resource (disambiguation); Internal medicine; Gynecology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005129335,0.0001502863,0.0002674068,0.0002448286,0.00006542035,0.000009609676,0.000171944,0.000205704,0.00001628769],"category_scores_gemma":[0.000134495,0.0001645388,0.00002540394,0.0002804488,0.0002899997,0.000004452992,0.0001611073,0.0001337873,5.207111e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051609,"about_ca_system_score_gemma":0.0004973336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005768579,"about_ca_topic_score_gemma":0.0023489,"domain_scores_codex":[0.9984708,0.0002722171,0.0003279532,0.000528058,0.0001400387,0.0002609558],"domain_scores_gemma":[0.9994122,0.00002270719,0.0001210612,0.0002272091,0.0001158201,0.0001010049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001283082,0.0003835509,0.8452824,0.00002392933,0.0003963668,0.0000463672,0.009036714,0.002448874,0.01917866,0.00003800115,0.00885437,0.1130277],"study_design_scores_gemma":[0.004069869,0.001384041,0.97306,0.00001844798,0.0000722322,0.000106601,0.003779445,0.001520291,0.001134848,0.0005780505,0.01394852,0.0003276962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942194,0.001389964,0.002602116,0.0003147098,0.0003942457,0.0005171285,0.0001455065,0.000004139546,0.0004127698],"genre_scores_gemma":[0.9847519,0.0002145598,0.01431502,0.00030848,0.00017924,0.0001483435,0.00001022044,0.00002129602,0.00005089491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277776,"threshold_uncertainty_score":0.6709698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00866394568813898,"score_gpt":0.282187464080016,"score_spread":0.273523518391877,"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."}}