{"id":"W3125643698","doi":"10.2139/ssrn.2004512","title":"Optimum Commodity Taxation with a Non-Renewable Resource","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Commodity; Natural resource economics; Economics; Renewable energy; Resource (disambiguation); Renewable resource; Non-renewable resource; Business; Microeconomics; Environmental economics; Market economy; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001554145,0.0006837298,0.001921574,0.0008415274,0.0005368904,0.002764317,0.001077306,0.002397727,0.007414256],"category_scores_gemma":[0.007249581,0.0009848239,0.0007912895,0.0007338676,0.001370741,0.004651069,0.001475603,0.001979843,0.0006188211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059788,"about_ca_system_score_gemma":0.001927185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403894,"about_ca_topic_score_gemma":0.002188606,"domain_scores_codex":[0.9993585,0.0003024756,0.00003399886,0.00009410808,0.00007963659,0.0001313975],"domain_scores_gemma":[0.9970336,0.001884176,0.0004536292,0.0002486808,0.0001898191,0.0001900562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005066057,0.0001994087,0.0008513583,0.0003176944,0.000084016,0.0004257173,0.0000722652,0.310952,0.001925366,0.6643026,0.004731469,0.01563147],"study_design_scores_gemma":[0.0002438211,0.0001460198,0.001043834,0.00008232975,0.00006442913,0.0001850352,0.0001016131,0.3713872,0.0009210947,0.6216,0.00418658,0.00003802286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5647215,0.001864972,0.2699884,0.01244503,0.000664974,0.000257871,0.001176718,0.0005856904,0.1482949],"genre_scores_gemma":[0.9602276,0.0004978495,0.01626109,0.0002086536,0.0001363394,0.00004853062,0.00007875748,0.00006147589,0.02247967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007414256,"threshold_uncertainty_score":0.02480316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733208230863837,"score_gpt":0.2041417485545868,"score_spread":0.1868096662459484,"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."}}