{"id":"W2219473791","doi":"10.22329/wyaj.v28i1.4493","title":"Human Rights Disclosure Litigation: Uncovering Invisible Medical Records","year":2010,"lang":"en","type":"article","venue":"Windsor Yearbook of Access to Justice","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Human rights; Confidentiality; Neglect; Relevance (law); Jurisprudence; Internet privacy; Business; Vulnerability (computing); Political science; Medical record; Personally identifiable information; Law; Psychology; Medicine; Computer security; Psychiatry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02465873,0.0001851512,0.0003425539,0.004723688,0.01129792,0.0146723,0.001894625,0.007228044,0.0027447],"category_scores_gemma":[0.05792353,0.0004833355,0.0004010887,0.002669202,0.03054986,0.02006076,0.01410963,0.005984212,0.0003198952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00480574,"about_ca_system_score_gemma":0.007521854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137915,"about_ca_topic_score_gemma":0.003462303,"domain_scores_codex":[0.9689807,0.0157144,0.001260562,0.00153561,0.01022007,0.002288694],"domain_scores_gemma":[0.9046412,0.08334336,0.007279904,0.002607555,0.001319829,0.0008080809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002990551,0.00005343297,0.005576176,0.0001686853,0.000007570006,0.002511648,0.1124218,0.0002506634,0.0006066745,0.8241633,0.002454737,0.05175548],"study_design_scores_gemma":[0.00004463219,0.0001640755,0.01291871,0.003201362,0.00004586533,0.007024925,0.1543371,0.001774233,0.005665152,0.5723651,0.2423276,0.0001311768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5258953,0.02655648,0.04341375,0.1314402,0.0007177035,0.0001873825,0.0001009633,0.00009081491,0.2715974],"genre_scores_gemma":[0.9767483,0.006342679,0.004400209,0.006285181,0.0003300517,0.00004471973,0.00002096497,0.00002079597,0.005806985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02465873,"threshold_uncertainty_score":0.1304094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647661731335942,"score_gpt":0.3538727867256669,"score_spread":0.3073961694123075,"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."}}