{"id":"W2109900132","doi":"","title":"Revisiting Genetic Discrimination Issues in 2010: Policy Options for Canada","year":2010,"lang":"en","type":"article","venue":"TSpace","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"Institute of Genetics; Canadian Institutes of Health Research; Genome Canada","keywords":"Genetic discrimination; Legislation; Legislature; Status quo; Political science; Incentive; Genetic testing; Convention; Business; Public economics; Economics; Law; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01669866,0.0009291171,0.001330932,0.003454459,0.01237042,0.01650895,0.006892778,0.04232958,0.02491119],"category_scores_gemma":[0.05656463,0.0006629416,0.00160215,0.004913065,0.005717061,0.007253326,0.004883304,0.01398191,0.001751428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08611584,"about_ca_system_score_gemma":0.4521661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.968042,"about_ca_topic_score_gemma":0.982297,"domain_scores_codex":[0.9829678,0.001418307,0.0007066468,0.0008780802,0.005579653,0.008449526],"domain_scores_gemma":[0.9471065,0.01566186,0.001862397,0.001026846,0.01967213,0.01467019],"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":[0.0002298156,0.0001824671,0.005635662,0.0004213198,0.00006029863,0.001138459,0.002148276,0.001657258,0.0008704357,0.199555,0.7412257,0.04687535],"study_design_scores_gemma":[0.0003754432,0.0001473391,0.01907082,0.001412549,0.0001706486,0.0003069045,0.008342242,0.002810052,0.001097092,0.04899982,0.9169142,0.0003529045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01167313,0.006070054,0.0007218238,0.9030178,0.003892995,0.0001900625,0.002883064,0.0001762084,0.07137477],"genre_scores_gemma":[0.1206743,0.01002705,0.004472355,0.7717485,0.002284569,0.0002679552,0.002073558,0.0001182095,0.08833348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08611584,"threshold_uncertainty_score":0.624817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07881687365557176,"score_gpt":0.2974344366084074,"score_spread":0.2186175629528356,"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."}}