{"id":"W4387552479","doi":"10.1016/j.nxener.2023.100070","title":"Global energy policy analysis to achieve near-term climate goals in the United States","year":2023,"lang":"en","type":"article","venue":"Next Energy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Summit; Energy policy; Climate change; Electricity; Climate policy; Climate change mitigation; Business; Agriculture; Efficient energy use; Natural resource economics; Political science; Economics; Renewable energy; Geography; Engineering","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":[0.001962072,0.0004105122,0.0002920252,0.001590001,0.0005884523,0.002338232,0.0002794663,0.0007636808,0.003630078],"category_scores_gemma":[0.002868056,0.0001645288,0.0006859994,0.002705632,0.0005591814,0.001261074,0.0006903622,0.001097979,0.0001572001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005618265,"about_ca_system_score_gemma":0.006503712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07769267,"about_ca_topic_score_gemma":0.07221665,"domain_scores_codex":[0.9993945,0.0003073766,0.00001952084,0.00005114156,0.00009889736,0.000128485],"domain_scores_gemma":[0.9993919,0.0002607906,0.00008245811,0.00002708698,0.0001853822,0.00005238533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001058976,0.000344757,0.03837662,0.0002535143,0.0002911669,0.0003167074,0.0003913683,0.2145402,0.0004112648,0.6646999,0.04199394,0.03827467],"study_design_scores_gemma":[0.0001212241,0.0002887208,0.1155896,0.0007451368,0.0004634202,0.0001265112,0.008267518,0.1993428,0.001317033,0.5186961,0.1549331,0.0001087498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6377605,0.01025863,0.02023641,0.04579803,0.0005176346,0.0002674072,0.005863784,0.0001546749,0.2791429],"genre_scores_gemma":[0.9811556,0.003615205,0.005399372,0.001720415,0.00005810504,0.0001274839,0.001485514,0.00002157721,0.006416611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07769267,"threshold_uncertainty_score":0.1544809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07369058971656456,"score_gpt":0.2889175900954224,"score_spread":0.2152270003788578,"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."}}