{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07039825,0.001246625,0.0006134704,0.001710412,0.002735134,0.001048277,0.001939868,0.002051829,0.01555114],"category_scores_gemma":[0.1323649,0.0008146399,0.0008530201,0.0007597607,0.001589804,0.002017946,0.002933375,0.003045731,0.003816287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002621182,"about_ca_system_score_gemma":0.007910573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104588,"about_ca_topic_score_gemma":0.001406699,"domain_scores_codex":[0.9466308,0.04210627,0.005612593,0.001274562,0.003085661,0.001290101],"domain_scores_gemma":[0.8577586,0.1014213,0.006220525,0.01225565,0.01955881,0.002785114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006148062,0.01561974,0.009486777,0.005409926,0.00006560134,0.002005603,0.0889369,0.006809822,0.031115,0.01186102,0.04377818,0.7787635],"study_design_scores_gemma":[0.0135505,0.08906171,0.08407502,0.01108941,0.0005197216,0.002639218,0.1442147,0.05153818,0.1048785,0.02535059,0.4717545,0.001327892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1776156,0.0001721406,0.29496,0.003356488,0.0009136476,0.5020005,0.001698668,0.002070122,0.01721282],"genre_scores_gemma":[0.09274092,0.0002732748,0.3012984,0.0008041847,0.0001260493,0.6003079,0.0006248133,0.0001138386,0.003710597],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07039825,"threshold_uncertainty_score":0.372306,"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."}}