{"id":"W4401918879","doi":"10.1002/jgc4.1959","title":"Risk assessment and genetic counseling for hematologic malignancies—Practice resource of the National Society of Genetic Counselors","year":2024,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Genetic counseling; Medicine; Resource (disambiguation); Genetic predisposition; Germline; Public health; Genetic testing; Family medicine; Genetics; Disease; Pathology; Biology; Internal medicine; Computer science","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":[0.003869944,0.0003731242,0.0005782623,0.003484222,0.0009771683,0.001444406,0.001216656,0.00103809,0.03168998],"category_scores_gemma":[0.02114897,0.0004847557,0.0002165767,0.002057587,0.0003328092,0.001414648,0.003102052,0.001480276,0.01339108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014096,"about_ca_system_score_gemma":0.01134529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008029214,"about_ca_topic_score_gemma":0.02213119,"domain_scores_codex":[0.9976982,0.0009241293,0.0003631008,0.0002315112,0.0006455851,0.0001373934],"domain_scores_gemma":[0.9819418,0.005046715,0.0017135,0.001429731,0.005423991,0.004444361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008595471,0.0005927302,0.02247657,0.000264817,0.00002012855,0.001182023,0.0006534303,0.0006370873,0.0007288947,0.001655132,0.5154243,0.4562789],"study_design_scores_gemma":[0.0001866671,0.0003682596,0.05164329,0.002045364,0.00003691585,0.005625159,0.001350361,0.005641786,0.0009406278,0.006829375,0.9252402,0.00009203049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1181793,0.01986449,0.0909835,0.139638,0.002483214,0.009887096,0.04974031,0.01296942,0.5562548],"genre_scores_gemma":[0.2321959,0.04232908,0.4801357,0.03474584,0.006069472,0.008259158,0.05195056,0.002497462,0.1418167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03168998,"threshold_uncertainty_score":0.1060135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148529582505615,"score_gpt":0.3122474729290286,"score_spread":0.2973945146784671,"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."}}