{"id":"W2897459557","doi":"10.3386/w25150","title":"Arbitration with Uninformed Consumers","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Yale School of Management; Yale University","keywords":"Arbitration; Business; Advertising; Law; 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":[0.01349513,0.0007778699,0.002340132,0.00108311,0.002781761,0.007428875,0.00206002,0.006107911,0.07394315],"category_scores_gemma":[0.03519255,0.0009081197,0.001748323,0.001149935,0.004598015,0.007869109,0.005106706,0.005535551,0.007489734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028342,"about_ca_system_score_gemma":0.003790744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217393,"about_ca_topic_score_gemma":0.002344021,"domain_scores_codex":[0.9896438,0.003395539,0.0005794301,0.002117847,0.002513543,0.001749844],"domain_scores_gemma":[0.9787291,0.01212539,0.001657094,0.005628615,0.001298317,0.000561368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004916084,0.00009187707,0.002331455,0.0001473293,0.00008932574,0.000671842,0.0009906013,0.002888745,0.000600623,0.9562859,0.01421601,0.02119472],"study_design_scores_gemma":[0.0002272997,0.00008252048,0.0005596274,0.00008007662,0.00006775384,0.0003768179,0.0003012306,0.01318209,0.001523409,0.9529436,0.03061758,0.00003806047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1228057,0.003204843,0.2037418,0.01916222,0.0010333,0.001050491,0.001537558,0.0005770691,0.6468871],"genre_scores_gemma":[0.8119987,0.0007367869,0.009470258,0.00162777,0.0004043939,0.0003190156,0.0002946408,0.00008240953,0.1750659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07394315,"threshold_uncertainty_score":0.2473645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2871704998935048,"score_gpt":0.4398627113592105,"score_spread":0.1526922114657056,"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."}}