{"id":"W2211104402","doi":"10.22145/flr.42.1.7","title":"Time to Get Serious about Privacy Policies: The Special Case of Genetic Privacy","year":2014,"lang":"en","type":"article","venue":"Federal Law Review","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Privacy policy; Information privacy; Personally identifiable information; Internet privacy; Business; Consumer privacy; Privacy by Design; Genetic testing; FTC Fair Information Practice; Relation (database); Project commissioning; Privacy law; Privacy rights; Publishing; Law; Political science; Computer science; 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":[0.06094357,0.0002952694,0.001036493,0.001531877,0.0148789,0.01925839,0.002559349,0.02354165,0.005886262],"category_scores_gemma":[0.07751241,0.0006967245,0.001384292,0.002056034,0.04940148,0.02036989,0.009897172,0.02867036,0.0006442711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124178,"about_ca_system_score_gemma":0.02079134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01865418,"about_ca_topic_score_gemma":0.01442094,"domain_scores_codex":[0.9324571,0.03807526,0.00248013,0.004394788,0.01281718,0.009775542],"domain_scores_gemma":[0.8949807,0.08336484,0.005460409,0.007304141,0.005668715,0.003221205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003338351,0.00002517603,0.001627759,0.00005323366,0.00001604348,0.00191231,0.03157077,0.0002815043,0.0003075346,0.9431912,0.01055581,0.01042519],"study_design_scores_gemma":[0.00003547199,0.00008216748,0.003037947,0.001044733,0.00004923196,0.003151592,0.05486014,0.001377991,0.001133167,0.6682248,0.2668808,0.0001220862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09459903,0.004030922,0.02628003,0.7085333,0.000977504,0.0001293758,0.00007482546,0.00007759024,0.1652974],"genre_scores_gemma":[0.8965256,0.001605023,0.008034395,0.07984204,0.0006429995,0.0001145305,0.00003007289,0.00006187905,0.01314352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06094357,"threshold_uncertainty_score":0.3223042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012949440883363,"score_gpt":0.3106534458376723,"score_spread":0.2805239514288387,"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."}}