{"id":"W7072058315","doi":"","title":"The United States Should Take a Page Out of Canadian Law When It Comes to Privacy, Genetic and Otherwise","year":2023,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guard (computer science); Personally identifiable information; Confidentiality; Information privacy; State (computer science); Privacy law; Genetic data; Privacy laws of the United States; Information privacy law","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":[0.002783081,0.0004959818,0.0006194353,0.001174109,0.028604,0.01035807,0.001682629,0.01395717,0.02739528],"category_scores_gemma":[0.009849875,0.0006285015,0.000816022,0.001748855,0.006939371,0.00405804,0.002350882,0.01027827,0.005126252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04187121,"about_ca_system_score_gemma":0.1471408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750699,"about_ca_topic_score_gemma":0.9895276,"domain_scores_codex":[0.993831,0.0005244257,0.000181389,0.0004444532,0.003212298,0.001806414],"domain_scores_gemma":[0.9926521,0.001742046,0.0001566992,0.0003669279,0.004049896,0.001032471],"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":[0.00001762177,0.0000226604,0.001125711,0.00004659554,0.000005714297,0.0002659143,0.002305828,0.00008958446,0.0002478765,0.2112233,0.7682528,0.01639651],"study_design_scores_gemma":[0.000007119261,0.000005768851,0.001260964,0.0001430766,0.00001034605,0.00006507795,0.002075482,0.0001081759,0.0002008208,0.006451938,0.9896214,0.00004977979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.003573036,0.006760763,0.001431865,0.3775738,0.006423831,0.0001167036,0.000822249,0.0002615011,0.6030362],"genre_scores_gemma":[0.09237317,0.005997238,0.00525188,0.3806418,0.000797928,0.00009806752,0.0003614475,0.0002376874,0.5142409],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04187121,"threshold_uncertainty_score":0.3037983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140449611820397,"score_gpt":0.2813304530375856,"score_spread":0.2399259569193816,"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."}}