{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00560832,0.0001403804,0.0005740073,0.00004037334,0.001575897,0.0003471394,0.000588499,0.00005987985,0.000005899384],"category_scores_gemma":[0.0006995812,0.00007206482,0.0001216895,0.000127785,0.007574412,0.0007881713,0.0004117031,0.0002642481,8.446422e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008638498,"about_ca_system_score_gemma":0.0001362865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006820756,"about_ca_topic_score_gemma":0.01034938,"domain_scores_codex":[0.9979138,0.0005929096,0.000545589,0.0001506302,0.0004899986,0.0003070224],"domain_scores_gemma":[0.9981005,0.0006096658,0.0006115349,0.000172402,0.000399628,0.0001063099],"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":[0.0001435613,0.0000523499,0.001490893,0.00007340998,0.0002741737,0.0002407894,0.03109713,0.00001099096,0.0002504756,0.965452,0.000288971,0.0006252124],"study_design_scores_gemma":[0.01053061,0.0006849943,0.001716529,0.001021006,0.0007744156,0.001402239,0.07152694,0.0001510775,0.002645087,0.1991228,0.7096224,0.0008018723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549314,0.004869739,0.004922193,0.004602842,0.001133619,0.001114004,0.00001132089,0.00003268887,0.02838218],"genre_scores_gemma":[0.9971262,0.0007115013,0.001009068,0.0002978643,0.0004853437,0.000009369539,1.12577e-7,0.00001187275,0.0003486385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7663292,"threshold_uncertainty_score":0.9997929,"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."}}