{"id":"W2892576797","doi":"10.1111/cge.13379","title":"Risk communication in genetic counseling: Exploring uptake and perception of recurrence numbers, and their impact on patient outcomes","year":2018,"lang":"en","type":"article","venue":"Clinical Genetics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Minority Health and Health Disparities; National Society of Genetic Counselors","keywords":"Medicine; Genetic counseling; Perception; Cancer recurrence; Receipt; Family medicine; Internal medicine; Psychology; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003737113,0.0001390342,0.0001907614,0.00003714432,0.00005800902,0.00001586559,0.000127899,0.0001342038,0.000007974345],"category_scores_gemma":[0.0002559528,0.0001112748,0.0000603175,0.00007180596,0.0003600975,0.00000350073,0.0001075081,0.0001385417,0.000002520253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000236927,"about_ca_system_score_gemma":0.00005973696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003067575,"about_ca_topic_score_gemma":0.00008067246,"domain_scores_codex":[0.9988253,0.0001804572,0.0004745234,0.0003051862,0.00008066456,0.0001338901],"domain_scores_gemma":[0.9990308,0.0001261532,0.0001804607,0.0004750451,0.0001211646,0.00006635566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001218161,0.0001206968,0.6991189,0.00000961261,0.00004932153,1.847185e-7,0.001456847,0.0002761097,0.003485467,0.000004793377,0.0002225528,0.2951337],"study_design_scores_gemma":[0.0005834388,0.001357855,0.9897976,0.00004283854,0.00002026876,0.000003078923,0.0007493037,0.001044355,0.002971953,0.0003016631,0.002962793,0.0001648474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972504,0.001916706,0.0003367932,0.00005453652,0.0001638465,0.000173129,0.00003338771,0.000004449864,0.00006679306],"genre_scores_gemma":[0.9758131,0.01927084,0.004663045,0.0001193686,0.0000748826,0.00001906645,0.00001868822,0.00001525528,0.000005743825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2949689,"threshold_uncertainty_score":0.4537655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06106350417871321,"score_gpt":0.3707254200512174,"score_spread":0.3096619158725042,"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."}}