{"id":"W4405001145","doi":"10.1515/9780776636429-004","title":"CHAPTER A-1 Have the Post-SARS Reforms Prepared Us for COVID-19? Mapping the Institutional Landscape","year":2020,"lang":"en","type":"book-chapter","venue":"University of Ottawa Press eBooks","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Geography; Medicine; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005140741,0.000320719,0.000173607,0.0008680931,0.002009764,0.005391626,0.0006826096,0.001257556,0.04450843],"category_scores_gemma":[0.00119997,0.0002206318,0.000213049,0.00222881,0.002191585,0.00253264,0.0008078307,0.002186585,0.006480366],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0168909,"about_ca_system_score_gemma":0.009713401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1654498,"about_ca_topic_score_gemma":0.3144405,"domain_scores_codex":[0.9997092,0.00005004023,0.000006836065,0.00002841887,0.000149025,0.00005657073],"domain_scores_gemma":[0.9995947,0.0001391345,0.00001973438,0.00002534223,0.0001532629,0.00006778673],"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":[0.000005256139,0.00001467648,0.0002510819,0.0001439754,0.000001361649,0.00004690866,0.0006508165,0.0003768704,0.00007953327,0.5914613,0.3604627,0.04650559],"study_design_scores_gemma":[6.076957e-7,0.000002517364,0.0005121979,0.0001671029,6.305587e-7,0.00002715457,0.0004004459,0.00007287496,0.0000370918,0.02060229,0.9781732,0.000003753523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001505722,0.04114183,0.001363619,0.03117266,0.002079094,0.0000408812,0.0005403284,0.00007150856,0.9220845],"genre_scores_gemma":[0.0446259,0.05676825,0.002132645,0.005630311,0.001449133,0.00005688964,0.0007462752,0.0001304837,0.8884602],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9831091,"threshold_uncertainty_score":0.3289735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09059896607993675,"score_gpt":0.2324880892275685,"score_spread":0.1418891231476318,"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."}}