{"id":"W3124437615","doi":"","title":"Output and Pollution Abatement in a U.S. State Emission Function","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Residual; Econometrics; Function (biology); Economics; Pollution; Nonlinear system; Mathematics; Environmental science; Physics; Ecology","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":[0.0009577177,0.0002927916,0.0003753312,0.0004861071,0.0002032042,0.001063326,0.0002928746,0.0006531177,0.001608131],"category_scores_gemma":[0.002651683,0.0001858026,0.0005632768,0.0009083014,0.0004636624,0.0009160641,0.00044021,0.0007465165,0.0002169861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141533,"about_ca_system_score_gemma":0.0005389954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01717476,"about_ca_topic_score_gemma":0.01234063,"domain_scores_codex":[0.9997788,0.00008195299,0.00001203453,0.00006723164,0.00002287485,0.00003714052],"domain_scores_gemma":[0.9983639,0.001086292,0.0003058631,0.0001163073,0.00009139962,0.00003616261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003626747,0.0003133513,0.2020006,0.000113136,0.0003291802,0.0001661727,0.0002825024,0.7390192,0.003097972,0.04016293,0.001570045,0.01258227],"study_design_scores_gemma":[0.00003542623,0.0001517613,0.1366221,0.0000345753,0.0001328856,0.00008292484,0.0001855724,0.8346699,0.002195924,0.02387546,0.001967874,0.00004566565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845791,0.0002308908,0.01246264,0.0003253046,0.00001086576,0.000005612356,0.0006697026,0.0000764396,0.001639419],"genre_scores_gemma":[0.9978096,0.0001296827,0.0008260144,0.00002205881,0.000005666792,0.000005728,0.0005905438,0.00001142476,0.0005993043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01717476,"threshold_uncertainty_score":0.03414959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444807971833718,"score_gpt":0.3350684247632873,"score_spread":0.1905876275799155,"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."}}