{"id":"W3047819823","doi":"10.2139/ssrn.3602294","title":"Cy Près Settlements in Privacy Class Actions","year":2020,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Human settlement; Class (philosophy); Internet privacy; Business; Computer security; Computer science; Geography; Artificial intelligence; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01777658,0.000375666,0.0008642363,0.002225032,0.01140764,0.01427756,0.001998635,0.01116347,0.04289389],"category_scores_gemma":[0.07057167,0.0007271899,0.000891173,0.001618977,0.009507624,0.01341169,0.009717815,0.01169195,0.003093614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005960391,"about_ca_system_score_gemma":0.006764354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00749011,"about_ca_topic_score_gemma":0.006455221,"domain_scores_codex":[0.9797632,0.007882549,0.001234574,0.002379588,0.003330954,0.005409153],"domain_scores_gemma":[0.9660433,0.02233606,0.003104352,0.004084469,0.002576021,0.001855689],"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":[0.00004480882,0.00003950264,0.0007015368,0.00001238859,0.000004913325,0.00008488198,0.001426923,0.0001807613,0.00005193965,0.9888719,0.003056177,0.005524328],"study_design_scores_gemma":[0.00007480174,0.00005904357,0.002308538,0.0001209515,0.00002634027,0.0002190012,0.006046331,0.002299715,0.0006620535,0.9240881,0.06406138,0.00003379655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1106119,0.001024882,0.02182476,0.02075137,0.0007451097,0.0002862244,0.0001892711,0.00009170881,0.8444747],"genre_scores_gemma":[0.9330143,0.0002126285,0.001376297,0.001103125,0.0002163451,0.0001238864,0.00005177148,0.00002737618,0.0638741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04289389,"threshold_uncertainty_score":0.1434944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822224874151419,"score_gpt":0.2613289433194855,"score_spread":0.2331066945779713,"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."}}