{"id":"W3183551112","doi":"10.3390/jpm11080726","title":"Risk-Stratified Approach to Breast Cancer Screening in Canada: Women’s Knowledge of the Legislative Context and Concerns about Discrimination from Genetic and Other Predictive Health Data","year":2021,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Cancer Care Ontario; Centre Intégré de Santé et de Services Sociaux des Laurentides; Ministère de la Santé et des Services Sociaux (Québec); McGill University; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Public Health Ontario; University of Toronto; Université Laval","funders":"Genome Canada","keywords":"Legislature; Context (archaeology); Breast cancer; Medicine; Genetic testing; Family medicine; Risk assessment; Population; Cancer; Environmental health; Actuarial science; Gynecology; Business; Political science; Geography; Internal medicine; Law; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358951,0.0000978406,0.0002717767,0.00003346007,0.00004629805,0.000005660813,0.0001505292,0.00003704089,0.00002932011],"category_scores_gemma":[0.0001606186,0.00006773294,0.0000161191,0.0001094079,0.0001663528,0.000007554735,0.00009063871,0.0001390436,1.420121e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592603,"about_ca_system_score_gemma":0.002593142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.18085,"about_ca_topic_score_gemma":0.4337958,"domain_scores_codex":[0.9989411,0.000197255,0.0003423875,0.0002144298,0.0001823023,0.0001225367],"domain_scores_gemma":[0.9990728,0.00004864272,0.0003727016,0.0001856391,0.0002138611,0.0001063376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002512316,0.0003253073,0.5081661,0.0003608973,0.002187945,0.00001438256,0.2191219,0.002023034,0.05881684,0.0001749465,0.01911334,0.1871829],"study_design_scores_gemma":[0.005868917,0.0002813275,0.90752,0.0008632342,0.0001712556,0.00009725436,0.06354459,0.002861716,0.001705833,0.00005252066,0.01684737,0.0001859646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580802,0.03390671,0.003684631,0.002601851,0.0001780851,0.0001859661,0.001177753,6.099613e-7,0.0001842187],"genre_scores_gemma":[0.9966311,0.001310723,0.0009525541,0.0007021981,0.0002700395,0.00001117623,0.00002331597,0.0000104061,0.00008850507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3993539,"threshold_uncertainty_score":0.8246048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03921769143733165,"score_gpt":0.322554766080091,"score_spread":0.2833370746427594,"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."}}