{"id":"W3114405859","doi":"10.1016/j.spc.2020.12.029","title":"Global economic crisis, energy use, CO2 emissions, and policy roadmap amid COVID-19","year":2020,"lang":"en","type":"review","venue":"Sustainable Production and Consumption","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":292,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recession; Pandemic; Coronavirus disease 2019 (COVID-19); Pace; Consumption (sociology); Global recession; Greenhouse gas; Development economics; Economics; Shock (circulatory); Economic policy; Economic recovery; Agency (philosophy); Business; Economic growth; Natural resource economics; Geography; Macroeconomics; Infectious disease (medical specialty); Sociology","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":[0.00226456,0.00122034,0.002012697,0.003065551,0.0005209714,0.002441169,0.001427218,0.002401192,0.01671389],"category_scores_gemma":[0.00356756,0.0003931123,0.001196325,0.005208478,0.0006152469,0.002465447,0.001794701,0.003254263,0.005716378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003266271,"about_ca_system_score_gemma":0.01423765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417053,"about_ca_topic_score_gemma":0.02572403,"domain_scores_codex":[0.9992548,0.0001175025,0.00008346855,0.00006179345,0.0003715412,0.0001109322],"domain_scores_gemma":[0.9984853,0.0004707901,0.0002284143,0.00002936255,0.0006038399,0.0001823102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006889521,0.00005415858,0.0001616098,0.02764225,0.0001080293,0.00006988351,0.00003849934,0.0004200111,0.000271174,0.0126581,0.338365,0.6201425],"study_design_scores_gemma":[0.00001216463,0.00002660685,0.0004709905,0.01161425,0.00007519024,0.00007531331,0.00004806529,0.00005099381,0.0000593869,0.002688882,0.9848664,0.00001168168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006914395,0.9861033,0.0001167154,0.005468715,0.00188557,0.00002564472,0.0004775166,0.00003481903,0.005818613],"genre_scores_gemma":[0.0006768737,0.9940666,0.0002482225,0.002400133,0.0004879038,0.00003234379,0.000385034,0.000007777558,0.0016951],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01671389,"threshold_uncertainty_score":0.05591351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05144734253265324,"score_gpt":0.3710049416384161,"score_spread":0.3195575991057629,"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."}}