{"id":"W4388112269","doi":"10.1080/13876988.2023.2255151","title":"Comparing the Sequence of Climate Change Mitigation Targets and Policies in Major Emitting Economies","year":2023,"lang":"en","type":"article","venue":"Journal of Comparative Policy Analysis Research and Practice","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Universidade Federal de Minas Gerais; Planbureau voor de Leefomgeving; H2020 European Institute of Innovation and Technology; University of Twente; Directorate-General for Climate Action","keywords":"Greenhouse gas; Climate change; Fossil fuel; Quarter (Canadian coin); Climate policy; Climate change mitigation; Natural resource economics; Business; Economics; Geography; Engineering; Waste management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006864876,0.0001153272,0.0006996478,0.00219831,0.0002400449,0.0001734448,0.0002121988,0.0000535039,0.00001765122],"category_scores_gemma":[0.001430058,0.0001020951,0.000101551,0.001829075,0.0003317449,0.00101026,0.0001783967,0.0003855228,0.00002129236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061367,"about_ca_system_score_gemma":0.00003420985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003803091,"about_ca_topic_score_gemma":0.001295933,"domain_scores_codex":[0.9981098,0.0002729961,0.0009472766,0.0001849052,0.00008039208,0.000404632],"domain_scores_gemma":[0.9955343,0.002952124,0.001060091,0.0001596856,0.000187667,0.0001061379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005454292,0.0001407839,0.5954177,0.0001773551,0.001295777,0.00001404785,0.0602266,0.001566971,0.0001911017,0.339482,0.000351937,0.0005902436],"study_design_scores_gemma":[0.001433427,0.0004312315,0.7925706,0.0001334416,0.0001571595,0.00008428126,0.03658509,0.06984308,0.0002944509,0.08724062,0.01085341,0.0003731974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715758,0.002874566,0.00002306723,0.01794229,0.00002957866,0.0001384189,0.0000974851,0.000003895954,0.007314903],"genre_scores_gemma":[0.9801849,0.01919947,0.0001508122,0.0001902994,0.000215252,0.00001240127,0.000007265847,0.000006893637,0.00003275937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2522414,"threshold_uncertainty_score":0.5749161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4937404114348088,"score_gpt":0.4752421042973961,"score_spread":0.01849830713741274,"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."}}