{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007911187,0.0001808789,0.0002879185,0.000631032,0.0007162156,0.001350361,0.0003811974,0.0004449963,0.001500612],"category_scores_gemma":[0.02855481,0.0001609492,0.0004772493,0.0005787315,0.0006670204,0.001000093,0.000928204,0.001153847,0.0001291686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743061,"about_ca_system_score_gemma":0.002868878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008490424,"about_ca_topic_score_gemma":0.01072858,"domain_scores_codex":[0.9945485,0.003146176,0.0003042795,0.0003219498,0.00110067,0.0005784176],"domain_scores_gemma":[0.9773902,0.01143014,0.007684359,0.0003961328,0.001032704,0.002066538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003042574,0.001052233,0.9743626,0.00004489483,0.00005634307,0.00005898511,0.005888047,0.000124022,0.0001294478,0.0001083963,0.000188284,0.01768254],"study_design_scores_gemma":[0.00003914325,0.001793936,0.9845363,0.00007983677,0.00008120182,0.0001448968,0.01113326,0.001053851,0.0002753555,0.0002332159,0.0005994705,0.00002949209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991699,0.00009312495,0.00008076774,0.0001885091,0.000003542516,0.00001844315,0.00002914279,0.000001900974,0.0004146712],"genre_scores_gemma":[0.9996204,0.00005429236,0.0001509982,0.0000381543,0.000004456163,0.00001867347,0.00002424906,0.000001113536,0.00008753769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008490424,"threshold_uncertainty_score":0.04183888,"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."}}