{"id":"W50474325","doi":"","title":"Session 2-4-F: The Trials and Tribulations of Canadian Sports Gambling","year":2013,"lang":"en","type":"article","venue":"Digital Scholarship - UNLV (University of Nevada Reno)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Psychology; Advertising; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006754841,0.00008482694,0.0003406942,0.0004251059,0.0001929171,0.0000976364,0.000185382,0.00007706071,0.0006732019],"category_scores_gemma":[0.0001272656,0.00008230379,0.0000944612,0.0004390987,0.00008937216,0.001004388,0.0000466868,0.0001226837,0.00003009252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003717756,"about_ca_system_score_gemma":0.00004926481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03525756,"about_ca_topic_score_gemma":0.00409621,"domain_scores_codex":[0.9992668,0.000009764552,0.0003264488,0.0001704242,0.00006176468,0.0001648014],"domain_scores_gemma":[0.9990991,0.00007349956,0.000404347,0.0002127423,0.00007520773,0.0001350837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003808157,0.00008775458,0.8888679,0.00005821846,0.0001452193,0.0000110027,0.001516109,0.0004612959,0.00007131232,0.08407853,0.001571314,0.02309327],"study_design_scores_gemma":[0.0005498116,0.00004775033,0.9082398,0.00005810863,0.00002346444,0.000003717432,0.001059206,0.002049836,0.00002032138,0.01131969,0.0764187,0.0002096145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808715,0.0004786818,0.00009586664,0.0008835794,0.00007129113,0.000175567,0.0002287471,0.000006642501,0.01718815],"genre_scores_gemma":[0.9985983,0.0002938519,0.00007716504,0.00003682253,0.00001848855,2.13411e-7,0.00004004906,0.000006380232,0.0009286918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07484738,"threshold_uncertainty_score":0.9711667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09700053306883348,"score_gpt":0.2226114191929475,"score_spread":0.125610886124114,"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."}}