{"id":"W1540082423","doi":"10.5750/jgbe.v1i1.506","title":"IMPERFECT MARKET-MAKER COMPETITION, HETEROGENEOUS EXPECTATIONS, AND THE FAVOURITE-LONGSHOT BIAS IN WAGERING MARKETS","year":2013,"lang":"en","type":"article","venue":"The Journal of Gambling Business and Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Imperfect competition; Competition (biology); Imperfect; Economics; Favourite; Microeconomics; Econometrics; Financial economics; Ecology","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":[0.01400994,0.0004355942,0.002167787,0.001021431,0.0011852,0.003874296,0.001731554,0.002235127,0.01225618],"category_scores_gemma":[0.06046825,0.0005987889,0.0007036421,0.001082436,0.003964497,0.003873562,0.001601742,0.002275189,0.0007232574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000977193,"about_ca_system_score_gemma":0.000589941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004161503,"about_ca_topic_score_gemma":0.003574451,"domain_scores_codex":[0.9960983,0.001338091,0.0002908773,0.0009226729,0.0007803569,0.0005695867],"domain_scores_gemma":[0.9524209,0.02922678,0.01178254,0.003446559,0.001177682,0.001945517],"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":[0.003433244,0.0007419201,0.3304678,0.0006703131,0.0007520866,0.002715319,0.004411266,0.02483019,0.004944055,0.522275,0.006855479,0.09790323],"study_design_scores_gemma":[0.0004348999,0.0003871394,0.1821364,0.0001109458,0.0002035446,0.0006782026,0.001008008,0.06499835,0.001503886,0.7452618,0.003086342,0.0001903453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194929,0.001866756,0.05867246,0.003246415,0.0001210822,0.0001267534,0.0003826079,0.0001320433,0.01595897],"genre_scores_gemma":[0.9964715,0.0001779208,0.001629527,0.0003010053,0.0001176478,0.00001672248,0.00006988435,0.00001182197,0.001204029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01400994,"threshold_uncertainty_score":0.07409251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385301398405789,"score_gpt":0.2198418420693323,"score_spread":0.1813117022287534,"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."}}