{"id":"W984668029","doi":"","title":"Alberta's $22-Billion Lost Opportunity: How Spending beyond Inflation + Population Growth Created Alberta's Red Ink","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Institute","funders":"","keywords":"Inflation (cosmology); Population; Economics; Fiscal year; Population growth; Government spending; Government (linguistics); Public sector; Recession; Finance; Economy; Macroeconomics; Welfare; Demography; Market economy","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":[0.002198366,0.0005301132,0.0003064402,0.002026206,0.007064742,0.01159139,0.001655047,0.002060786,0.01273807],"category_scores_gemma":[0.004295579,0.0003302456,0.0004719034,0.002147587,0.00367568,0.002195263,0.002746657,0.002989732,0.001632693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05342315,"about_ca_system_score_gemma":0.1112417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9397314,"about_ca_topic_score_gemma":0.9771242,"domain_scores_codex":[0.9970709,0.0002480501,0.00004162744,0.0001091748,0.001384357,0.001145843],"domain_scores_gemma":[0.997012,0.0003384529,0.00009629865,0.0001037086,0.001288113,0.001161391],"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":[0.0001065463,0.00005707115,0.008653698,0.0004265553,0.00005398845,0.0006215002,0.002625242,0.001641154,0.0008605091,0.09675065,0.7038335,0.1843696],"study_design_scores_gemma":[0.00001738752,0.00003425006,0.01434035,0.0005024104,0.00004209713,0.0001301647,0.003882307,0.0003570314,0.0005022777,0.006958777,0.973166,0.00006703624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0577286,0.04376056,0.002195789,0.280368,0.007441708,0.00009517931,0.002688361,0.0007413431,0.6049805],"genre_scores_gemma":[0.4854495,0.04083782,0.005277686,0.04191653,0.00121746,0.00006212842,0.002477319,0.0005329479,0.4222286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06026864,"threshold_uncertainty_score":0.3876139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209072249029926,"score_gpt":0.2494278545007366,"score_spread":0.2373371320104373,"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."}}