{"id":"W4392022151","doi":"10.51644/9780889207912-015","title":"The Burdens and Benefits of Growth: Mineral Resource Revenues and Heritage Fund Allocations under the Saskatchewan NDP, 1971-82","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Revenue; Natural resource economics; Resource (disambiguation); Business; Mineral resource classification; Economics; Finance; Computer science; Geology; Geochemistry; Computer network","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":[0.0009423932,0.0006067014,0.0003027883,0.002510687,0.004487718,0.005821276,0.001147446,0.001628888,0.006421924],"category_scores_gemma":[0.003728578,0.0007203718,0.0002566697,0.008176282,0.003430028,0.00194453,0.001718485,0.002620389,0.0006853218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1256857,"about_ca_system_score_gemma":0.1276527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.971208,"about_ca_topic_score_gemma":0.9954044,"domain_scores_codex":[0.9990103,0.0001146823,0.00003975819,0.00007446107,0.0004348111,0.0003258768],"domain_scores_gemma":[0.9991629,0.0001936717,0.00007133615,0.00003463574,0.0004305568,0.0001069242],"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":[0.0001774356,0.00007873582,0.03022133,0.0002121889,0.0000645177,0.0007866715,0.009677198,0.003441909,0.0005961107,0.6541139,0.2122734,0.08835648],"study_design_scores_gemma":[0.00003401827,0.00003013478,0.1366374,0.0004603644,0.00007365677,0.0003021252,0.02076092,0.001155025,0.001631122,0.0533943,0.7853999,0.000120999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1898095,0.03296357,0.0006341598,0.05576053,0.0008483787,0.0001615596,0.0121578,0.00006855833,0.7075959],"genre_scores_gemma":[0.4462421,0.01998583,0.0008560744,0.002864231,0.000108132,0.000105682,0.001580405,0.0000441614,0.5282133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1256857,"threshold_uncertainty_score":0.9119179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474356007998488,"score_gpt":0.2238420959700533,"score_spread":0.1990985358900684,"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."}}