{"id":"W3022664941","doi":"10.1126/science.abc4887","title":"A COVID-19 recovery for climate","year":2020,"lang":"en","type":"article","venue":"Science","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Prosperity; Pandemic; Economic recovery; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Unemployment; Climate change; Outbreak; Face (sociological concept); Business; Development economics; Natural resource economics; Political science; Economic growth; Economics; Disease; Virology; Infectious disease (medical specialty); Sociology; Medicine; Biology; Ecology","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":[0.01074698,0.001333757,0.0005192292,0.001122456,0.007655941,0.009812143,0.002617188,0.01495548,0.06242795],"category_scores_gemma":[0.01479653,0.0004942743,0.001696454,0.0005598982,0.003081137,0.007632441,0.01313089,0.01873459,0.02824381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003842996,"about_ca_system_score_gemma":0.0338883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260185,"about_ca_topic_score_gemma":0.01915557,"domain_scores_codex":[0.9932812,0.001137012,0.0002583209,0.000720477,0.002822066,0.001780804],"domain_scores_gemma":[0.9855753,0.0008407434,0.0004083015,0.001038594,0.003420072,0.00871691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005255656,0.0001091801,0.0004720577,0.0001030117,0.0000129655,0.0001773449,0.000174727,0.0001332873,0.000558358,0.01910628,0.9536935,0.02540671],"study_design_scores_gemma":[0.00001495422,0.00005264254,0.000490949,0.000140505,0.000005637315,0.00006545024,0.0002112038,0.0001203306,0.0002454959,0.005076805,0.9935539,0.00002218491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001976545,0.006919172,0.004663491,0.782142,0.07131685,0.0003116638,0.001045411,0.001201216,0.1304236],"genre_scores_gemma":[0.04141104,0.01082779,0.02295734,0.5925692,0.02023304,0.0005731074,0.002599643,0.001145109,0.3076837],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06242795,"threshold_uncertainty_score":0.2088423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08438202835196279,"score_gpt":0.3741660913597781,"score_spread":0.2897840630078153,"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."}}