{"id":"W3169272657","doi":"10.1177/00438200211052045","title":"HEALTH VULNERABILITY VERSUS ECONOMIC RESILIENCE TO THE COVID-19 PANDEMIC","year":2021,"lang":"en","type":"article","venue":"World Affairs","topic":"Economic Growth and Development","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Vulnerability (computing); China; Resilience (materials science); Geography; Vulnerability index; Quadrant (abdomen); Index (typography); Economic growth; Socioeconomics; Development economics; Political science; Medicine; Economics; Biology; Infectious disease (medical specialty)","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":[0.001311035,0.0002474824,0.0003184835,0.001642905,0.0006318367,0.001845382,0.000249471,0.0004302771,0.003019712],"category_scores_gemma":[0.007013415,0.0001072949,0.0003632194,0.001946009,0.001885436,0.001927786,0.002968185,0.0007991787,0.000205001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007499641,"about_ca_system_score_gemma":0.0006501355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326704,"about_ca_topic_score_gemma":0.003967309,"domain_scores_codex":[0.9990275,0.0002979037,0.0000414123,0.00008139978,0.0001143679,0.0004374622],"domain_scores_gemma":[0.9971341,0.0007202764,0.001334556,0.0001954424,0.0002224214,0.000393235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000261233,0.00007906249,0.8851693,0.0001780544,0.0002832371,0.0007604479,0.004748353,0.01120984,0.0008396761,0.04047969,0.002280184,0.05371102],"study_design_scores_gemma":[0.00001411032,0.0002230259,0.9304042,0.0003154091,0.00007129873,0.0007807812,0.02480967,0.003871766,0.0006305628,0.02449617,0.01432856,0.00005446639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686444,0.0007636079,0.001178443,0.002756475,0.00004174841,0.00003310723,0.0004112194,0.00001119144,0.02615966],"genre_scores_gemma":[0.9990528,0.0003130019,0.0001478226,0.0001167393,0.0000155669,0.000009585377,0.0001023629,0.000001980533,0.0002400981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003326704,"threshold_uncertainty_score":0.01010197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04575326491327701,"score_gpt":0.306673224878468,"score_spread":0.260919959965191,"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."}}