{"id":"W4385256700","doi":"10.2139/ssrn.4520377","title":"Optimal Dynamic Strategy for Emission Reduction and Operation Considering Hybrid Carbon Policy with Carbon Tax and Cap-and-Trade","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Carbon tax; Reduction (mathematics); Carbon fibers; Emissions trading; Greenhouse gas; Economics; Natural resource economics; Computer science; Mathematics; Algorithm; Geology","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":[0.001049515,0.001476733,0.002053501,0.001184429,0.0008097281,0.003124036,0.001188646,0.003750586,0.008177592],"category_scores_gemma":[0.002316389,0.001024242,0.001019726,0.0009078264,0.001038887,0.00201888,0.001374419,0.001558729,0.0007009021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114119,"about_ca_system_score_gemma":0.002027472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008081542,"about_ca_topic_score_gemma":0.004871782,"domain_scores_codex":[0.9993621,0.0002011565,0.00001850486,0.0001421287,0.00008719599,0.0001890484],"domain_scores_gemma":[0.9989746,0.0005916772,0.0001167261,0.00004051817,0.0001538489,0.000122697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001845954,0.00006936915,0.0003085675,0.00007629865,0.00005645585,0.0001468595,0.0000320839,0.979087,0.001817697,0.01118113,0.0008809837,0.006158885],"study_design_scores_gemma":[0.00002696042,0.00005864141,0.0002046804,0.000008962317,0.0000193553,0.0000215044,0.00002995579,0.9938418,0.0002900388,0.005182668,0.0003040993,0.00001137282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2797854,0.0009710155,0.6459541,0.003774614,0.000347472,0.0003765329,0.0006370961,0.000656695,0.06749709],"genre_scores_gemma":[0.9856419,0.0001328259,0.00827246,0.0001036779,0.00004176575,0.00008530082,0.00005454652,0.00003363643,0.005633878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008177592,"threshold_uncertainty_score":0.02735674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109036542707292,"score_gpt":0.2718620204963154,"score_spread":0.2207716550692425,"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."}}