{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007876151,0.0002959625,0.0002885892,0.0003018062,0.0004698047,0.0005605709,0.0004556129,0.0001611823,0.001453847],"category_scores_gemma":[0.0002056447,0.0003242706,0.0002393666,0.001172869,0.00007374752,0.002302115,0.0001774934,0.003100014,0.001902495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685898,"about_ca_system_score_gemma":0.001532814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003009485,"about_ca_topic_score_gemma":0.002014697,"domain_scores_codex":[0.9956857,0.00006145683,0.0005863088,0.0003524437,0.000415743,0.002898378],"domain_scores_gemma":[0.9991627,0.00002696644,0.0003744542,0.0001750433,0.0001738036,0.00008698438],"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":[0.00007812124,0.0005048276,0.009847142,0.0001271196,0.0003133797,0.00002528961,0.0001383102,0.0003308289,0.0001556761,0.9059797,0.02727013,0.05522948],"study_design_scores_gemma":[0.001467913,0.00006638891,0.002792416,0.000105266,0.0001469418,0.00007287994,0.002865923,0.003885533,0.000004211063,0.02376886,0.9645018,0.0003218672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06956094,0.03833499,0.01651506,0.6742406,0.005949604,0.001035731,0.0000334632,0.0002676068,0.194062],"genre_scores_gemma":[0.96625,0.009913227,0.00004789807,0.004607227,0.003619092,0.00001519005,0.00003007189,0.00006164394,0.01545565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372317,"threshold_uncertainty_score":0.999921,"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."}}