{"id":"W7099304707","doi":"","title":"Revisiting Genetic Discrimination Issues in 2010: Policy Options for Canada Policy Brief No. 2 Policy Brief No. 2 Revisiting Genetic Discrimination Issues in 2010: Policy Options for Canada Editor’s Preface GPS: Where Genomics, Public Policy and","year":2010,"lang":"en","type":"article","venue":"","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Genetic discrimination; Public policy; State (computer science); Variety (cybernetics); Policy studies; Policy analysis; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06066447,0.002825523,0.004308782,0.006534889,0.02249829,0.03908459,0.01401841,0.09703066,0.02900178],"category_scores_gemma":[0.1695527,0.002847012,0.004453022,0.007712171,0.01322933,0.01139646,0.01212382,0.04838021,0.007619457],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1965087,"about_ca_system_score_gemma":0.6625182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9263935,"about_ca_topic_score_gemma":0.935384,"domain_scores_codex":[0.9304558,0.007043951,0.005208096,0.003665786,0.03122832,0.02239801],"domain_scores_gemma":[0.7965595,0.04767402,0.007904268,0.003450961,0.09121141,0.05319991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004119062,0.00004109296,0.0002586371,0.0003932313,0.00001808029,0.0001430278,0.0003072101,0.0001859723,0.0001134898,0.008017639,0.9842135,0.006267067],"study_design_scores_gemma":[0.0001210608,0.00003612297,0.001739735,0.001764753,0.00006377047,0.0000718313,0.001230534,0.0003369141,0.0001952471,0.004590407,0.9896332,0.0002162865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005229922,0.0113918,0.0002491858,0.92597,0.04582793,0.0002879958,0.00160355,0.0001447973,0.01400188],"genre_scores_gemma":[0.005600999,0.007159405,0.001522215,0.9399543,0.0101261,0.0003966095,0.0008978977,0.00008754845,0.03425492],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1965087,"threshold_uncertainty_score":0.9319361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014920091134265,"score_gpt":0.2801187134992045,"score_spread":0.2699695125878619,"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."}}