{"id":"W4229508497","doi":"10.5194/acp-2020-193","title":"Electricity savings and greenhouse gas emission reductions from global phase-down of hydrofluorocarbons","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ClimateWorks Foundation","keywords":"Montreal Protocol; Greenhouse gas; Environmental science; Electricity; Air conditioning; Per capita; Global warming; Refrigeration; Baseline (sea); Efficient energy use; Natural resource economics; Ozone layer; Environmental engineering; Climate change; Waste management; Ozone; Meteorology; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001871095,0.0003554936,0.000992569,0.0001690935,0.0001001662,0.00009005429,0.0003483757,0.0004281846,0.0005059771],"category_scores_gemma":[0.0002065,0.0004451656,0.000245822,0.0002059336,0.0001086232,0.000122204,0.0006677514,0.0004393382,0.00007801925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584948,"about_ca_system_score_gemma":0.0000549034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686016,"about_ca_topic_score_gemma":0.0002960377,"domain_scores_codex":[0.9976285,0.00001525898,0.001046643,0.0009230231,0.00003418074,0.0003523661],"domain_scores_gemma":[0.9982983,0.00007236605,0.000802803,0.0005497588,0.00002484995,0.0002519132],"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":[0.001735313,0.005897658,0.236862,0.00281935,0.004745287,0.00005721007,0.0131994,0.0004895176,0.008919699,0.525989,0.1616311,0.03765452],"study_design_scores_gemma":[0.002802372,0.0003518325,0.006857185,0.0001596234,0.0001623898,0.00001596355,0.000259368,0.03330719,0.004535244,0.9352052,0.0148173,0.001526382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669256,0.00237647,0.0008863082,0.004849924,0.0005548063,0.0003524281,0.007023444,0.0001238043,0.01690725],"genre_scores_gemma":[0.9912323,0.005890483,0.001594026,0.0003316894,0.0004266187,0.00002824309,0.0002928444,0.00004328485,0.0001605462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4092162,"threshold_uncertainty_score":0.9998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08575956479394489,"score_gpt":0.2821552539811222,"score_spread":0.1963956891871773,"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."}}