{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002875026,0.0006000907,0.0009308165,0.004933098,0.0008147148,0.001150133,0.001736572,0.0006700468,0.02728868],"category_scores_gemma":[0.008630439,0.0005546565,0.00042941,0.003176315,0.0003010184,0.0009822419,0.00382526,0.0008139543,0.01060737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026111,"about_ca_system_score_gemma":0.00575341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01796672,"about_ca_topic_score_gemma":0.02870994,"domain_scores_codex":[0.9993511,0.0001424332,0.00006039362,0.0001534117,0.0001422945,0.000150408],"domain_scores_gemma":[0.9907415,0.001749969,0.0006063571,0.0011548,0.001785391,0.003962022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003762386,0.000638826,0.1688199,0.0007818803,0.000195844,0.0007624022,0.0005142771,0.0007323822,0.01003814,0.002561485,0.6506968,0.1604956],"study_design_scores_gemma":[0.001980573,0.00040301,0.2186625,0.0003629914,0.0002654189,0.0009016848,0.0005009352,0.002187026,0.002983489,0.003939595,0.7677321,0.00008058593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07417327,0.002836623,0.01243083,0.005416359,0.0007377042,0.00293841,0.8448039,0.007875234,0.04878758],"genre_scores_gemma":[0.1100241,0.003367994,0.06733509,0.00543342,0.0009855448,0.005604885,0.7599025,0.0031351,0.04421132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02728868,"threshold_uncertainty_score":0.0912897,"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."}}