{"id":"W1606628352","doi":"","title":"Consumer Dispute Resolution: The Evolving Canadian Landscape","year":2008,"lang":"en","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":true,"ca_institutions":"McGill University","funders":"","keywords":"Arbitration; Dispute resolution; Legislation; Dispute mechanism; Class action; Online dispute resolution; Alternative dispute resolution; Business; Law and economics; Action (physics); Compulsory arbitration; Diversity (politics); Consumer protection; Political science; Law; Economics; State (computer science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006731426,0.0001364576,0.0001131841,0.0002226552,0.001866535,0.0002309318,0.0003166065,0.00005801102,0.0004851611],"category_scores_gemma":[0.00007560506,0.00009835449,0.0001225785,0.0004335024,0.00008835284,0.0007181508,0.00004095544,0.001068708,0.00061949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630387,"about_ca_system_score_gemma":0.001507059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0193496,"about_ca_topic_score_gemma":0.2459347,"domain_scores_codex":[0.9976153,0.00001804978,0.0002062592,0.000149812,0.0002538491,0.001756672],"domain_scores_gemma":[0.9994638,0.0000220375,0.0001293044,0.0001834227,0.0001587336,0.00004271222],"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":[0.00001837129,0.00004648536,0.02376997,0.000006165312,0.000157478,0.00002522083,0.00004643676,0.0001233121,0.00001479633,0.8751466,0.09512572,0.005519436],"study_design_scores_gemma":[0.0004254284,0.00001027663,0.01947032,0.00001254959,0.00005374411,0.0007228399,0.001030412,0.003115999,4.831534e-7,0.01390252,0.9610609,0.000194493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1399632,0.01793183,0.006716078,0.05334905,0.002930633,0.0005595699,0.000008101858,0.000319856,0.7782217],"genre_scores_gemma":[0.9907999,0.001557095,0.0000109277,0.001567759,0.00154146,0.000006643784,0.000008324982,0.00002031877,0.004487573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8659352,"threshold_uncertainty_score":0.9994329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112600542200014,"score_gpt":0.2018340106919722,"score_spread":0.1905739564719708,"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."}}