{"id":"W4237294193","doi":"10.20935/al3628","title":"COVID-19 Pandemic Recession, Policy Response, and Recovery: A Canadian Perspective","year":2021,"lang":"en","type":"article","venue":"Academia Letters","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Recession; Coronavirus disease 2019 (COVID-19); Fossil fuel; Perspective (graphical); Pandemic; Coal; Petroleum; Economics; Business; Natural resource economics; Waste management; Engineering; Macroeconomics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002690304,0.0008345457,0.0007349114,0.004923307,0.009803501,0.00922305,0.001806544,0.004501039,0.008953939],"category_scores_gemma":[0.008053039,0.0003972411,0.000799269,0.006233389,0.007911272,0.003164547,0.002209213,0.005996208,0.0003561655],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.211102,"about_ca_system_score_gemma":0.2402785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973694,"about_ca_topic_score_gemma":0.9974903,"domain_scores_codex":[0.9972205,0.0003580792,0.00007104127,0.0001420088,0.000834145,0.001374192],"domain_scores_gemma":[0.9956665,0.0008928492,0.0003621862,0.00007658057,0.002050858,0.000950987],"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":[0.00006712237,0.00005833261,0.006395916,0.0002405506,0.00005376482,0.0004130197,0.002136076,0.009864712,0.0002205017,0.8777013,0.08342774,0.01942083],"study_design_scores_gemma":[0.0001123953,0.0000733769,0.05856352,0.001809277,0.0001933464,0.0002932891,0.02280297,0.01985309,0.0003932839,0.2864581,0.6089225,0.0005248553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02817241,0.05410935,0.002001649,0.6464848,0.001299101,0.00008131672,0.001929564,0.00006723864,0.2658547],"genre_scores_gemma":[0.7772835,0.1284813,0.003424718,0.04483576,0.001601859,0.00007223311,0.0007874729,0.0001021961,0.04341086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.211102,"threshold_uncertainty_score":0.9150099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05253509627388987,"score_gpt":0.311531383046844,"score_spread":0.2589962867729542,"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."}}