{"id":"W4318240434","doi":"10.2139/ssrn.4338894","title":"Machine Arbitrators and Machine Arbitration","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Thompson Rivers University","funders":"","keywords":"Arbitration; Computer science; Business; Law; Computer security; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002366576,0.0004495022,0.0006744459,0.0008295189,0.001874406,0.004765074,0.0008597522,0.005272296,0.02592174],"category_scores_gemma":[0.01106494,0.0004025802,0.0005444231,0.0008871526,0.006990252,0.01161586,0.001949589,0.004222024,0.002267557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100224,"about_ca_system_score_gemma":0.000933505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008071031,"about_ca_topic_score_gemma":0.0005016759,"domain_scores_codex":[0.9977864,0.001062029,0.00008296461,0.000357816,0.0004139248,0.0002967551],"domain_scores_gemma":[0.9953709,0.003213948,0.0003599276,0.0006963997,0.0002590996,0.00009965694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005412342,0.000002313743,0.00002403821,0.000004267378,0.000001118655,0.00001025498,0.00004789651,0.000305556,0.00002742131,0.997098,0.0009999451,0.001473904],"study_design_scores_gemma":[0.000006447899,0.00000530243,0.000039022,0.000005541234,0.000001135172,0.00001748533,0.00001520606,0.001938947,0.00006952098,0.9904569,0.007440958,0.000003586767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06148302,0.006084328,0.2229056,0.03018252,0.002209868,0.00006831562,0.0002005701,0.0002852969,0.6765806],"genre_scores_gemma":[0.9086878,0.001076629,0.01219612,0.002230962,0.001804851,0.00009169034,0.00006507862,0.0001012413,0.0737456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02592174,"threshold_uncertainty_score":0.08671683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128772631486117,"score_gpt":0.2221100562628119,"score_spread":0.2108223299479508,"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."}}