{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001430143,0.0002393287,0.0004216188,0.0008258012,0.0002786912,0.00009357152,0.0002804397,0.0005714379,0.0004741211],"category_scores_gemma":[0.01703185,0.0002966776,0.00009709627,0.000860919,0.0001426762,0.0003386928,0.000114425,0.001060443,0.0002339368],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005544811,"about_ca_system_score_gemma":0.002550833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1825245,"about_ca_topic_score_gemma":0.01048272,"domain_scores_codex":[0.9978052,0.0001445121,0.0004955884,0.0007787618,0.00006773714,0.0007081926],"domain_scores_gemma":[0.9974125,0.0006900223,0.0002405245,0.0004080246,0.00003885753,0.00121004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004761067,0.00002871755,0.7023399,0.0000883886,0.00024848,0.0003288761,0.01314334,0.0003170071,0.006811307,0.03523601,0.2389497,0.002032108],"study_design_scores_gemma":[0.001528375,0.00004714077,0.104346,0.00004223302,0.00001579351,0.000232216,0.0007624005,0.000104151,0.0001878765,0.04989704,0.8421001,0.0007366132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5463812,0.002885086,0.0006519108,0.4452004,0.0003031323,0.0002212052,0.0003033649,0.00009385509,0.003959888],"genre_scores_gemma":[0.7327831,0.00101049,0.0001910095,0.2647597,0.0002612244,0.00001856217,0.00001488235,0.00003695918,0.0009241579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6031504,"threshold_uncertainty_score":0.9999486,"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."}}