{"id":"W2115575604","doi":"10.2196/resprot.3337","title":"Development of a Communication Protocol for Telephone Disclosure of Genetic Test Results for Cancer Predisposition","year":2014,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Genetic testing; Personalized medicine; Exome sequencing; Exome; Medicine; Disease; Genetic predisposition; Cancer prevention; Risk assessment; Cancer; Bioinformatics; Computer science; Genetics; Biology; Gene; Mutation; Computer security; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001247881,0.0001119039,0.0001590506,0.00008201098,0.0001572211,0.00001781939,0.0004049833,0.0001390746,0.000006292732],"category_scores_gemma":[0.0005057121,0.0001020104,0.00006429646,0.0001706381,0.0001789375,0.000006128234,0.0001479351,0.00008875679,7.282275e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008418311,"about_ca_system_score_gemma":0.0007107781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006112884,"about_ca_topic_score_gemma":0.0001070926,"domain_scores_codex":[0.9984346,0.0001444345,0.0005450038,0.0003109714,0.0002974057,0.0002675875],"domain_scores_gemma":[0.9977991,0.0001672039,0.0002659346,0.0006304803,0.001083997,0.00005331202],"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":[0.003548441,0.0007516542,0.001261048,0.002098084,0.00004847405,2.848599e-8,0.0005148402,0.0001710534,0.9359618,0.00008373192,0.01757194,0.0379889],"study_design_scores_gemma":[0.003104091,0.001153453,0.003801303,0.0005863229,0.000001768437,3.272852e-7,0.00003108653,0.000225278,0.5814077,0.000195111,0.4094057,0.000087925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002341294,0.00000362696,0.007886614,0.0002045929,0.000003104866,0.9890442,0.0002995832,0.000007102456,0.0002098301],"genre_scores_gemma":[0.01032119,4.592962e-7,0.06455706,0.000008307178,0.000105499,0.9245864,0.0001520564,0.00002656805,0.0002424926],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.3918337,"threshold_uncertainty_score":0.4159863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322952448539955,"score_gpt":0.5191761062623017,"score_spread":0.3868808614083062,"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."}}