{"id":"W3195789573","doi":"10.20935/al2475","title":"COVID-19 Pandemic Recession, Policy Response, and Recovery: A Canadian Perspective","year":2021,"lang":"en","type":"article","venue":"Academia Letters","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Algoma University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Recession; Pandemic; 2019-20 coronavirus outbreak; Perspective (graphical); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Economics; Virology; Keynesian economics; Medicine; Computer science; Outbreak; Internal 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"],"consensus_categories":[],"category_scores_codex":[0.001339505,0.0001016081,0.000137959,0.0001011671,0.001046455,0.0001021288,0.0002704788,0.0003425886,0.0002388538],"category_scores_gemma":[0.01080802,0.0001035264,0.00004937129,0.001017337,0.0004892016,0.0002901352,0.00004758846,0.0005109486,0.00001995861],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002880901,"about_ca_system_score_gemma":0.009393868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.888855,"about_ca_topic_score_gemma":0.6777133,"domain_scores_codex":[0.9979924,0.0005514455,0.0001355461,0.0003855834,0.0003833463,0.0005516757],"domain_scores_gemma":[0.998175,0.0004995681,0.00008835003,0.0001146972,0.00006390343,0.00105843],"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":[0.0001659345,0.00001319395,0.2387832,0.000009760834,0.00004334101,0.00018504,0.1772851,0.00002662003,0.00607479,0.04286215,0.5239716,0.01057917],"study_design_scores_gemma":[0.000240508,0.00001287935,0.06272442,0.00001793451,0.000008404299,0.0000115757,0.02883451,0.000002183559,0.00004229635,0.01076019,0.8971115,0.0002336007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3967845,0.000512265,0.00002560585,0.5952273,0.0001920627,0.00009147357,0.0000206116,0.00004240597,0.007103828],"genre_scores_gemma":[0.8430549,0.001516569,0.0001096288,0.1519356,0.0006363796,0.00001156623,0.000001551113,0.000008969167,0.002724858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4462704,"threshold_uncertainty_score":0.9975244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135763874570119,"score_gpt":0.3817899066211211,"score_spread":0.3404322678754199,"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."}}