{"id":"W4220724133","doi":"10.1787/8f030bcc-en","title":"Carbon pricing and COVID-19","year":2022,"lang":"en","type":"report","venue":"OECD environment working papers","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Treasury; Environment and Climate Change Canada; Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; Australian Government","keywords":"Scope (computer science); Greenhouse gas; Carbon price; Climate change; Coronavirus disease 2019 (COVID-19); Natural resource economics; Aviation; Business; Environmental economics; Economics; Computer science; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001311154,0.0006136189,0.0004662746,0.002301693,0.001058399,0.005392373,0.00088581,0.001177389,0.05016918],"category_scores_gemma":[0.007132564,0.0001753429,0.0005544178,0.004967421,0.0008732449,0.003043276,0.001174805,0.001749547,0.005429943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004221982,"about_ca_system_score_gemma":0.003066911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03041469,"about_ca_topic_score_gemma":0.04108733,"domain_scores_codex":[0.997398,0.000357077,0.0001212527,0.0004313454,0.001227676,0.0004646289],"domain_scores_gemma":[0.996765,0.000918901,0.0004841652,0.0003004643,0.001330732,0.0002006956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004089298,0.00004403985,0.01136868,0.00009451164,0.00005144348,0.0001380952,0.0001837367,0.003863289,0.0001733766,0.9013207,0.04394918,0.0387721],"study_design_scores_gemma":[0.00001923241,0.00006025005,0.03817372,0.0003310531,0.00006128541,0.0003208349,0.0008174498,0.0133703,0.001428354,0.5324082,0.4129335,0.00007586685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03737801,0.00571877,0.01120464,0.00672808,0.0006083788,0.00009568191,0.01372223,0.0001954267,0.9243488],"genre_scores_gemma":[0.735965,0.005771434,0.003748234,0.001181265,0.0007309791,0.0001838825,0.01583919,0.0003094789,0.2362705],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05016918,"threshold_uncertainty_score":0.1678327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281228010670733,"score_gpt":0.2468003510195627,"score_spread":0.2186775499524894,"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."}}