{"id":"W4312838448","doi":"10.1139/facets-2022-0064","title":"How not to manage a pandemic, and how to recover from it: Lessons from Ecuador","year":2022,"lang":"en","type":"article","venue":"FACETS","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Outbreak; Coronavirus disease 2019 (COVID-19); Poverty; Economic growth; Development economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Public health; Inequality; Health care; Geography; Political science; Socioeconomics; Business; Economics; Medicine; Virology; Infectious disease (medical specialty); Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003859585,0.0004880457,0.0003648868,0.0006388966,0.001661511,0.0050405,0.000788518,0.001856297,0.006267737],"category_scores_gemma":[0.01166182,0.000119136,0.0002618011,0.0008637687,0.001741166,0.007246424,0.002297268,0.002766368,0.0003593399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002963804,"about_ca_system_score_gemma":0.003260007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483223,"about_ca_topic_score_gemma":0.0103521,"domain_scores_codex":[0.9991772,0.0004829097,0.00003895486,0.00003632745,0.00007114089,0.0001935061],"domain_scores_gemma":[0.9968279,0.001850993,0.0003550108,0.00008001642,0.0004863701,0.0003996165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003825754,0.0003965299,0.02526326,0.00159422,0.0001596498,0.00441793,0.01380279,0.01028237,0.0004592891,0.4036793,0.1736532,0.3659089],"study_design_scores_gemma":[0.0001321052,0.0003183812,0.02494345,0.004283893,0.0001164269,0.001139279,0.09265316,0.01124712,0.0007389134,0.3828695,0.481411,0.0001468944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09414016,0.05919018,0.005531642,0.7675284,0.001762673,0.00007351032,0.0002721182,0.0000652985,0.07143606],"genre_scores_gemma":[0.8813761,0.07243952,0.006492302,0.02024965,0.002049503,0.0001173537,0.0002355027,0.00008980801,0.01695018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01483223,"threshold_uncertainty_score":0.02949178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08103166709112489,"score_gpt":0.279535847710936,"score_spread":0.1985041806198111,"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."}}