{"id":"W4283323965","doi":"10.29173/cgs142","title":"Does Tribal Gaming Generate Net Benefits?","year":2022,"lang":"en","type":"article","venue":"Critical Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wage; Indigenous; Economics; Labour economics; Offset (computer science); Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003712469,0.0002613434,0.0004012266,0.0001499182,0.001036725,0.00005845636,0.000218609,0.00005731006,0.0008250698],"category_scores_gemma":[0.0002960516,0.000184136,0.0001493678,0.0003057475,0.0002283123,0.00006752818,0.0003348379,0.000362904,0.0001274464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117197,"about_ca_system_score_gemma":0.00001917805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000440466,"about_ca_topic_score_gemma":0.000007798709,"domain_scores_codex":[0.9978299,0.0002024766,0.0003667254,0.0005929701,0.0003695719,0.0006383932],"domain_scores_gemma":[0.9988226,0.0005073035,0.00004502362,0.0003634039,0.0001435059,0.0001181933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00108074,0.007521942,0.2561336,0.0003106403,0.004054461,0.004439638,0.03647736,0.001231891,0.001839158,0.5122638,0.02839887,0.1462479],"study_design_scores_gemma":[0.03035911,0.0092243,0.4298284,0.0005953175,0.00746401,0.001176532,0.2429693,0.0008694619,0.007402495,0.05751668,0.2036859,0.008908464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769484,0.009971621,0.00006442828,0.00205507,0.007992873,0.0002213637,0.0001319315,0.0002773178,0.00233697],"genre_scores_gemma":[0.9951596,0.00006050363,0.0004432485,0.0004972054,0.000410068,0.0004130498,0.00002065076,0.00004302923,0.002952651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4547471,"threshold_uncertainty_score":0.9033936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2039825327034062,"score_gpt":0.4643172240222284,"score_spread":0.2603346913188221,"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."}}