{"id":"W2899862586","doi":"10.55016/ojs/sppp.v11i1.43432","title":"Alberta’s Fiscal Responses to Fluctuations in Non-Renewable Resource Revenue","year":2018,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Revenue; Resource (disambiguation); Natural resource economics; Renewable energy; Renewable resource; Economics; Environmental science; Business; Environmental economics; Finance; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004055407,0.0001111689,0.0001373832,0.0007237187,0.0008039994,0.001254432,0.0004954141,0.0002564237,0.002800143],"category_scores_gemma":[0.002003262,0.00008543469,0.0001781437,0.001261187,0.0003794983,0.0002271807,0.0005115048,0.0004911555,0.0003002838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0118769,"about_ca_system_score_gemma":0.01052267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.960955,"about_ca_topic_score_gemma":0.9743602,"domain_scores_codex":[0.9996886,0.00002715371,0.000007258354,0.00002300834,0.0001168656,0.0001370479],"domain_scores_gemma":[0.9988267,0.0001085623,0.0002482777,0.00003502902,0.0004999877,0.0002815092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008097197,0.0001536168,0.89673,0.00008733429,0.00013358,0.001071895,0.001916614,0.01778689,0.001674594,0.009684359,0.03254067,0.03741072],"study_design_scores_gemma":[0.00003082607,0.00004206671,0.9740398,0.00002555318,0.00002981211,0.00007528015,0.003815043,0.004467928,0.0004865681,0.0007446561,0.01622068,0.00002174334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781587,0.0002084326,0.0001335598,0.001935827,0.00002902651,0.000007916094,0.001886741,0.00002850999,0.0176113],"genre_scores_gemma":[0.991621,0.0002250626,0.00008204128,0.0001635483,0.00001385096,0.000002685229,0.001302404,0.000006475232,0.006582904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03904498,"threshold_uncertainty_score":0.0861733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07569903516090012,"score_gpt":0.2860541630982351,"score_spread":0.210355127937335,"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."}}