{"id":"W1916515311","doi":"","title":"Balancing Privacy and the Open Court Principle of Family Law: Does De-Identifying Case Law Protect Anonymity?","year":2014,"lang":"en","type":"article","venue":"Dalhousie journal of legal studies","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anonymity; Transparency (behavior); Law; Context (archaeology); Privacy laws of the United States; Privacy law; Internet privacy; Common law; Political science; Expectation of privacy; Right to know; Right to privacy; Sociology; Information privacy; Business; Supreme court; Privacy policy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02970009,0.0003606917,0.0008483491,0.001697494,0.008090151,0.01264496,0.002238109,0.009273281,0.003792755],"category_scores_gemma":[0.0571896,0.0004409014,0.0009520439,0.001558126,0.05249823,0.02456136,0.009746565,0.007933635,0.0005397075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005356638,"about_ca_system_score_gemma":0.008584224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005429242,"about_ca_topic_score_gemma":0.003717508,"domain_scores_codex":[0.9678128,0.02006231,0.0009620589,0.002456186,0.005609559,0.003096986],"domain_scores_gemma":[0.957155,0.03321465,0.003000775,0.003940092,0.001641473,0.001047975],"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":[0.000009697089,0.00001624519,0.000498416,0.00002116528,0.000007435356,0.0001478461,0.003773991,0.0001419389,0.00005151075,0.9863715,0.001384215,0.007576068],"study_design_scores_gemma":[0.00001537058,0.00002093561,0.0005699016,0.0002242622,0.00001576249,0.0003152805,0.002701391,0.0003157607,0.0002252551,0.9608089,0.03476501,0.00002207482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08796427,0.01153274,0.1101631,0.4196772,0.001322797,0.0001430251,0.0001264573,0.00007515234,0.3689953],"genre_scores_gemma":[0.9511613,0.003930033,0.009156172,0.02503626,0.001434453,0.0001516336,0.00003529551,0.00004245271,0.009052435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02970009,"threshold_uncertainty_score":0.157071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861317570297575,"score_gpt":0.3553008274656192,"score_spread":0.3066876517626435,"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."}}