{"id":"W3198447617","doi":"10.11575/prism/39093","title":"Royally Flushed: Reforming gambling to work for, not against, Alberta","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Business; Economics; Engineering","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":[0.003146531,0.0003230427,0.0002425888,0.0008378444,0.01094529,0.008039437,0.002235528,0.005443102,0.01075216],"category_scores_gemma":[0.006920308,0.0003643797,0.0003059545,0.001223621,0.006505413,0.001770613,0.004062003,0.005158889,0.0009771651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0564019,"about_ca_system_score_gemma":0.1686843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9568431,"about_ca_topic_score_gemma":0.9784544,"domain_scores_codex":[0.994399,0.0007877765,0.00007060616,0.0002739137,0.001297413,0.003171223],"domain_scores_gemma":[0.9949577,0.0005049492,0.0001376434,0.0001681078,0.001258677,0.002972901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001337751,0.000278047,0.01196956,0.0002193661,0.00004850873,0.0008921312,0.01650272,0.003349163,0.001465692,0.2987833,0.5341027,0.1322552],"study_design_scores_gemma":[0.0001145517,0.0001015021,0.0256404,0.0004636059,0.0000727638,0.0001413929,0.01897584,0.001830968,0.0006421316,0.02453466,0.9273729,0.0001092287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09612289,0.006244308,0.003640392,0.4405901,0.002919413,0.0001756147,0.0002354931,0.0003451079,0.4497266],"genre_scores_gemma":[0.5906137,0.00364925,0.00394649,0.1028274,0.0005465741,0.00007859958,0.0002864989,0.0001237606,0.2979277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0564019,"threshold_uncertainty_score":0.4092263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145513700870903,"score_gpt":0.3667325357690832,"score_spread":0.2521811656819929,"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."}}