{"id":"W2086912211","doi":"10.1080/1351847042000254239","title":"Jai Alai arbitrage strategies","year":2004,"lang":"de","type":"article","venue":"European Journal of Finance","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"","keywords":"Arbitrage; Risk arbitrage; Statistical arbitrage; Economics; Fixed income arbitrage; Financial economics; Mathematical economics; Arbitrage pricing theory; Actuarial science; Capital asset pricing model","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":[0.0009882451,0.0007147769,0.0006008678,0.0004889316,0.001123533,0.002519667,0.001129932,0.001437562,0.006871001],"category_scores_gemma":[0.003536241,0.0002359461,0.0007191042,0.0003817606,0.0009315468,0.002095551,0.001619715,0.001388707,0.001076064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007773042,"about_ca_system_score_gemma":0.0006030012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000688778,"about_ca_topic_score_gemma":0.0007543482,"domain_scores_codex":[0.9991298,0.0002599114,0.00005205202,0.0001364401,0.0002358783,0.000185927],"domain_scores_gemma":[0.9991881,0.0003313825,0.0001170332,0.00007515785,0.0001069654,0.0001812369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001596811,0.0001368174,0.001770818,0.00006748658,0.00005429862,0.0003572666,0.0007243549,0.02255979,0.004426311,0.9170924,0.005370978,0.04727985],"study_design_scores_gemma":[0.00006377386,0.0003475915,0.001194019,0.00005413377,0.00005674611,0.0008065937,0.0004773801,0.3191169,0.002979052,0.6462823,0.02854788,0.00007361652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2477267,0.001003628,0.46791,0.002738401,0.0003321339,0.0003318641,0.0002031746,0.0003157297,0.2794386],"genre_scores_gemma":[0.9064729,0.000427454,0.04948786,0.0002503154,0.00008364151,0.0001871755,0.0000960235,0.00005996775,0.04293469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006871001,"threshold_uncertainty_score":0.02298582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961320048485091,"score_gpt":0.1952789148510158,"score_spread":0.1756657143661648,"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."}}