{"id":"W7019006898","doi":"","title":"Equality at Stake: Connecting the\\nPrivacy/Vulnerability Cycle to the\\nDebate about Publicly Accessible\\nOnline Court Records","year":2018,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Data Privacy and Cybersecurity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Information privacy; Personally identifiable information; Tribunal; Publishing; Confidentiality; Freedom of information; Privacy law","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005895176,0.0003135176,0.0005279506,0.0000325346,0.00739406,0.004576375,0.003641335,0.0002793499,0.08919539],"category_scores_gemma":[0.001125036,0.0003745625,0.0002553199,0.002039027,0.001009035,0.003112222,0.001951551,0.001169895,0.0001931492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409983,"about_ca_system_score_gemma":0.001229313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1225166,"about_ca_topic_score_gemma":0.8760293,"domain_scores_codex":[0.9916785,0.002416752,0.0009054882,0.001240193,0.0009922968,0.002766806],"domain_scores_gemma":[0.9959674,0.001161618,0.0004110801,0.001707305,0.0002122534,0.0005403573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001709513,0.0003259752,0.0436904,0.00002445587,0.0001710475,0.000014715,0.003310655,0.00003755491,0.000001163174,0.0886781,0.727098,0.1364769],"study_design_scores_gemma":[0.0004304727,0.000208725,0.006191661,0.00007546486,0.00003580645,0.00001747312,0.0006356668,0.000388386,0.00001025215,0.2475892,0.7439523,0.0004646105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5513282,0.002498735,0.00008742262,0.04222196,0.002478807,0.002630257,0.0004190446,0.001224499,0.3971111],"genre_scores_gemma":[0.9762734,0.001026426,0.0003374747,0.007458472,0.005298934,0.0001778171,0.0002350229,0.00008223424,0.009110185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7535126,"threshold_uncertainty_score":0.9998707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928980744562494,"score_gpt":0.2837034033320162,"score_spread":0.2644135958863913,"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."}}