{"id":"W3154346497","doi":"","title":"Big Data, Bigger Disruption: Is Institutional Arbitration Ready?","year":2020,"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":"University of Ottawa","funders":"","keywords":"Arbitration; Dispute resolution; Business; Online dispute resolution; Big data; Coronavirus disease 2019 (COVID-19); Pandemic; Law and economics; Political science; Law; Alternative dispute resolution; Economics; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004588809,0.0001380731,0.0001211651,0.0001140821,0.0005147213,0.0003648943,0.0003817115,0.00006055193,0.0002831831],"category_scores_gemma":[0.00007029594,0.0001258166,0.00007264038,0.0004361696,0.00005033382,0.001765183,0.0001142172,0.0008920052,0.001053421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203005,"about_ca_system_score_gemma":0.0007740911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009923193,"about_ca_topic_score_gemma":0.0004130105,"domain_scores_codex":[0.9982405,0.00001042019,0.000268276,0.0002631631,0.0003471958,0.0008704398],"domain_scores_gemma":[0.9994534,0.000007917191,0.0001787876,0.0002003901,0.0001265713,0.00003298811],"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":[0.00004447546,0.0000815773,0.0006371076,0.00001705918,0.00009317281,0.000004510438,0.00002135416,0.00005891519,0.0002585251,0.938393,0.01478346,0.04560688],"study_design_scores_gemma":[0.0005547198,0.00002255345,0.000891457,0.00001197891,0.00007342673,0.00007552464,0.000482487,0.007414558,0.000006196447,0.02396544,0.9663051,0.0001966076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07316678,0.003980577,0.3199487,0.2119104,0.005045727,0.0007038174,0.00008840367,0.0007293812,0.3844262],"genre_scores_gemma":[0.9805347,0.0007405102,0.00003893502,0.01003953,0.007727921,0.000004135033,0.0002109093,0.00001845867,0.0006848718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9515216,"threshold_uncertainty_score":0.9997244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05783808971118366,"score_gpt":0.2625459138744302,"score_spread":0.2047078241632466,"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."}}