{"id":"W2593664127","doi":"","title":"New Federal and Provincial Personal Information Protection Legislation and its Impact on Physicians and Public Hospitals","year":2005,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Business; Personally identifiable information; Internet privacy; Law; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001091227,0.0001363601,0.0001539329,0.00007895083,0.0002129761,0.0001852724,0.00002369179,0.00009209137,0.0000416914],"category_scores_gemma":[0.0001159447,0.0001175149,0.00003193638,0.00008391694,0.00003084052,0.001906926,0.00002426682,0.0002107795,0.00003310466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007949474,"about_ca_system_score_gemma":0.00009413671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004413958,"about_ca_topic_score_gemma":0.0001848369,"domain_scores_codex":[0.9992664,0.00003084022,0.000158454,0.0001476475,0.0002116624,0.0001850044],"domain_scores_gemma":[0.9995556,0.00001740172,0.00009034838,0.00007202818,0.00006363596,0.0002009728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001784893,0.0003240214,0.09648421,0.0003798828,0.0001926915,0.000005901082,0.008889506,0.00002267746,0.006678034,0.008732568,0.004038843,0.8724667],"study_design_scores_gemma":[0.007841849,0.00397866,0.9407786,0.0003719608,0.00009543405,0.0001093634,0.0004610793,0.00731625,0.003346717,0.001071051,0.03400464,0.0006244064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934608,0.0002033662,0.0002122846,0.00265125,0.00004971969,0.0007248378,0.00001717629,0.00005718138,0.002623427],"genre_scores_gemma":[0.998236,0.00002990848,0.0002092514,0.0008077538,0.0004476328,0.00001566818,0.00004513148,0.000008327387,0.000200343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8718424,"threshold_uncertainty_score":0.4792119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903009095062966,"score_gpt":0.2661520743224501,"score_spread":0.2471219833718205,"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."}}