{"id":"W3092552341","doi":"10.1002/1878-0261.12817","title":"Tumor and germline next generation sequencing in high grade serous cancer: experience from a large population‐based testing program","year":2020,"lang":"en","type":"article","venue":"Molecular Oncology","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Princess Margaret Cancer Foundation; AstraZeneca Canada","keywords":"Germline; Concordance; Genetic testing; Population; Cancer; Oncology; Medicine; Serous fluid; Germline mutation; Somatic cell; Internal medicine; Biology; Genetics; Mutation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009195133,0.0001708155,0.0002085442,0.00004656618,0.00008166958,0.00003663165,0.0001356839,0.0001529639,0.00002122782],"category_scores_gemma":[0.0002149851,0.0001929329,0.00003401548,0.0002665317,0.00004923735,0.000009853755,0.0000978145,0.000138539,0.000001703205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152212,"about_ca_system_score_gemma":0.0004907745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169355,"about_ca_topic_score_gemma":0.001223677,"domain_scores_codex":[0.9986022,0.000143775,0.0002970314,0.0005589134,0.0001177106,0.0002803548],"domain_scores_gemma":[0.9994704,0.00002217774,0.0001303544,0.0001978499,0.00007833331,0.0001009035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003215298,0.00005126895,0.03043379,0.00001388281,0.00001815212,0.00007921009,0.0003538274,0.009491008,0.9488041,0.00001798388,0.00006492175,0.01063965],"study_design_scores_gemma":[0.004208227,0.001381107,0.04449776,0.00004979586,0.00007886977,0.00004156833,0.0004951815,0.2514039,0.6868492,0.0001478015,0.01001389,0.0008327275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919676,0.001150185,0.005050621,0.001168073,0.0001361608,0.000426378,0.00004043002,0.0000392586,0.00002133877],"genre_scores_gemma":[0.9613073,0.0000205828,0.03362947,0.003887722,0.0002966837,0.0004169753,0.0004060927,0.00003143748,0.000003666104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.261955,"threshold_uncertainty_score":0.7867575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0709129825684013,"score_gpt":0.3369060024410211,"score_spread":0.2659930198726198,"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."}}