{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643192,0.0001349319,0.0003964234,0.0002086875,0.0001785461,0.0002582543,0.0001647474,0.00004836736,0.000255635],"category_scores_gemma":[0.00008507886,0.00009130346,0.0000637978,0.0001397619,0.0001398689,0.000365328,0.00005898333,0.0001749107,0.00001054623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003635148,"about_ca_system_score_gemma":0.00001761994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003451931,"about_ca_topic_score_gemma":0.00008707722,"domain_scores_codex":[0.9988541,0.00002589707,0.0007829576,0.0001256736,0.00002472791,0.0001866303],"domain_scores_gemma":[0.9988475,0.0002338396,0.0006163859,0.0001683111,0.00008165518,0.0000523368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002585092,0.0004557711,0.7635303,0.0006136244,0.001174794,0.00006319163,0.01903189,0.08998738,0.00006665204,0.08535402,0.003327408,0.03380993],"study_design_scores_gemma":[0.004249444,0.00007219833,0.7153364,0.0001926426,0.00005742894,0.0007344128,0.002014266,0.2482813,0.00003020886,0.01980822,0.008672585,0.0005509348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907583,0.005810387,0.0002775425,0.002017246,0.0002500576,0.0001325945,0.000006877769,0.000003199531,0.0007437809],"genre_scores_gemma":[0.9856017,0.01378119,0.00009767128,0.0002385651,0.0001476148,0.000005114897,0.000001390571,0.00001646876,0.0001102367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1582939,"threshold_uncertainty_score":0.3723247,"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."}}