{"id":"W1970159965","doi":"10.1007/s10897-014-9813-5","title":"All in the Family: Barriers and Motivators to the Use of Cancer Family History Questionnaires and the Impact on Attendance Rates","year":2015,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Attendance; Medicine; Family history; Genetic counseling; Family medicine; Confounding; Population; Public health; Nursing; Environmental health; Internal medicine","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":[0.004553869,0.0001927785,0.0002662486,0.0006028509,0.0006392368,0.0005482725,0.0005025508,0.0005737167,0.003861632],"category_scores_gemma":[0.02984948,0.0001966374,0.0007307867,0.0004454046,0.0002737788,0.0005492902,0.0007427081,0.0006622255,0.0004018463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469998,"about_ca_system_score_gemma":0.000802804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009173661,"about_ca_topic_score_gemma":0.006732201,"domain_scores_codex":[0.9957306,0.002617053,0.000245486,0.0002016813,0.0006887879,0.0005163747],"domain_scores_gemma":[0.9814827,0.00934401,0.004461746,0.0009851755,0.001093371,0.002632987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001673332,0.0002485432,0.9757043,0.00004421903,0.00005464015,0.0002168852,0.001644883,0.00006877734,0.0002354228,0.00005821307,0.0006355655,0.02092133],"study_design_scores_gemma":[0.000008307936,0.0002615387,0.9959086,0.00005119296,0.00003392388,0.0003322602,0.00227843,0.0002656143,0.0001223807,0.00004342801,0.0006851257,0.000009194231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976833,0.0002490309,0.0001244454,0.0006727105,0.00001512095,0.00001986135,0.0001063721,0.000009792949,0.001119352],"genre_scores_gemma":[0.9992926,0.0000822433,0.0001137355,0.00007420659,0.000008837848,0.00001377704,0.0000437226,0.000003612823,0.00036726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009173661,"threshold_uncertainty_score":0.02408344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350697471205271,"score_gpt":0.3167004673523571,"score_spread":0.2731934926403043,"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."}}