{"id":"W2009488855","doi":"10.4309/jgi.2013.28.7","title":"Tangled web: investigating Canadian lottery scandals","year":2013,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lottery; Political science; Profit (economics); Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004184998,0.0001806005,0.0003483235,0.0005126281,0.0001324734,0.0001609971,0.0002525465,0.0001294503,0.001996488],"category_scores_gemma":[0.000138915,0.0001489303,0.0001399296,0.0002377606,0.00006310071,0.0002733944,0.00001704069,0.0003139221,0.0006411475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224512,"about_ca_system_score_gemma":0.0001903639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04081044,"about_ca_topic_score_gemma":0.003646365,"domain_scores_codex":[0.9984218,0.0001059118,0.000576068,0.0001630104,0.0002966365,0.000436498],"domain_scores_gemma":[0.998488,0.00007774593,0.0003707782,0.0002262368,0.0003452189,0.0004920107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000183739,0.0001949766,0.9198343,0.00001537349,0.0003326579,0.0005373245,0.005208016,0.00002306005,0.009974294,0.0002865231,0.05369455,0.009880532],"study_design_scores_gemma":[0.004821163,0.001112703,0.944186,0.0007271246,0.000424205,0.001262927,0.004284321,0.000100388,0.004329757,0.001757227,0.03619206,0.0008020622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901786,0.001224938,0.000008803195,0.00188065,0.001312714,0.000129742,0.000004835001,0.00002855643,0.005231139],"genre_scores_gemma":[0.9932214,0.00002334011,0.002000027,0.00040631,0.0005339474,0.000008713179,0.000002981775,0.00003334708,0.003769947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03716408,"threshold_uncertainty_score":0.9989159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.260763065052255,"score_gpt":0.427377811111137,"score_spread":0.1666147460588819,"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."}}