{"id":"W1585610859","doi":"10.1177/155862351100600403","title":"An Analysis of the Last Hour of Betting in the NFL","year":2011,"lang":"en","type":"article","venue":"International Journal of Sport Finance","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horse racing; League; Football; Economics; Quarter (Canadian coin); Advertising; Business; Political science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058741,0.0002417204,0.0004437621,0.003629432,0.0008256878,0.001670742,0.0008936853,0.0008765779,0.008188254],"category_scores_gemma":[0.01640485,0.0002504225,0.0003717785,0.002219184,0.0005202132,0.000908701,0.0008816221,0.001005458,0.001145936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239634,"about_ca_system_score_gemma":0.0003977352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01646777,"about_ca_topic_score_gemma":0.03149297,"domain_scores_codex":[0.9986627,0.0002304857,0.0001015324,0.0001714812,0.0005895546,0.0002442384],"domain_scores_gemma":[0.9765151,0.009640103,0.008334981,0.0007887041,0.001886218,0.002835072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006197117,0.0002995168,0.9806364,0.00003276836,0.00009492278,0.0003627583,0.0008827834,0.001186509,0.001047837,0.0006863984,0.001037281,0.01311297],"study_design_scores_gemma":[0.000005182803,0.000119725,0.9953035,0.00001128818,0.00001392336,0.00009064077,0.0007115562,0.002186155,0.0001609174,0.0001736254,0.001207814,0.00001564619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956636,0.0001191813,0.0002778901,0.00009009853,0.00001346865,0.00001638549,0.0008173717,0.00001472177,0.002987415],"genre_scores_gemma":[0.9968502,0.00004792947,0.0001302387,0.00001953362,0.0000280632,0.0000129345,0.001074841,0.000007840182,0.001828399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01646777,"threshold_uncertainty_score":0.03274387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031464044957863,"score_gpt":0.2379130819077211,"score_spread":0.2064490369498581,"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."}}