{"id":"W4220798343","doi":"10.1002/jgc4.1571","title":"COVID‐19 and the adaptive evolution of genetic counseling","year":2022,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Genetic counseling; Health care; Disease; Test (biology); Medicine; Genetic testing; Public health; Nursing; Family medicine; Psychology; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Pathology; Political science; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268798,0.0001331544,0.0002317259,0.0001043985,0.0003040933,0.00001993491,0.0002970276,0.00005823609,0.00006492731],"category_scores_gemma":[0.000259679,0.0001117397,0.0001356753,0.0001808967,0.0002348954,0.00000404296,0.00009912989,0.000224187,4.979049e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296489,"about_ca_system_score_gemma":0.001349445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004667725,"about_ca_topic_score_gemma":0.00002301905,"domain_scores_codex":[0.9982493,0.0002715656,0.0006336005,0.000201689,0.0004657672,0.0001780774],"domain_scores_gemma":[0.9985281,0.0001105946,0.0006339158,0.0002500422,0.0003629448,0.0001143773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003194918,0.0001573319,0.0050339,0.0001219107,0.0007694071,0.00003968929,0.008838081,0.7741168,0.1838719,0.00034322,0.006632205,0.01688069],"study_design_scores_gemma":[0.04811598,0.01147744,0.02390798,0.000358816,0.00353781,0.01888283,0.0933725,0.1476527,0.02937399,0.03925763,0.580759,0.003303215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8397682,0.06313016,0.09588051,0.0004792554,0.0004579519,0.0002010855,0.00002088195,0.000003230508,0.00005877661],"genre_scores_gemma":[0.9885759,0.003627505,0.00692539,0.0004287042,0.0003353924,0.00001777823,0.000002594978,0.00002215632,0.00006460615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.626464,"threshold_uncertainty_score":0.4556614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067935886568269,"score_gpt":0.2565459912181958,"score_spread":0.2458666323525131,"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."}}