{"id":"W3107627742","doi":"10.1590/0034-761220200249x","title":"The COVID-19 outbreak and the municipal administration responses: resource munificence, social vulnerability, and the effectiveness of public actions","year":2020,"lang":"en","type":"article","venue":"Revista de Administração Pública","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Governo Brasil","keywords":"Pandemic; Qualitative comparative analysis; Bureaucracy; Public health; Business; Coronavirus disease 2019 (COVID-19); Vulnerability (computing); Public administration; Political science; Public relations; Medicine; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01132239,0.0002002873,0.0003661141,0.002131665,0.005253466,0.004636476,0.0007103659,0.0009856753,0.003920335],"category_scores_gemma":[0.02578427,0.0001738018,0.0002946755,0.001752712,0.009346578,0.002104578,0.00434794,0.000702722,0.00006369962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01056802,"about_ca_system_score_gemma":0.0112775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0314214,"about_ca_topic_score_gemma":0.04156846,"domain_scores_codex":[0.9858273,0.01127589,0.0002550792,0.0004065891,0.0007877597,0.001447356],"domain_scores_gemma":[0.9843837,0.01122882,0.002203979,0.000513876,0.0009272344,0.0007422627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002863804,0.0004850229,0.184566,0.0008514683,0.0001906069,0.001208391,0.5215205,0.002189739,0.001291435,0.2345126,0.001424847,0.05147307],"study_design_scores_gemma":[0.00002185706,0.0001595389,0.1394383,0.0006268601,0.00006935344,0.0001418818,0.8258721,0.001521734,0.0004423422,0.01774114,0.01393153,0.0000335106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513607,0.0005999398,0.001032187,0.003054599,0.00002592025,0.00007913886,0.00004792179,0.000004461772,0.04379505],"genre_scores_gemma":[0.9996178,0.00006371827,0.0001132305,0.00003131847,0.000001509216,0.00001424624,0.000003505962,7.054779e-7,0.0001538317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0314214,"threshold_uncertainty_score":0.07667673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2215378382542003,"score_gpt":0.478269795415675,"score_spread":0.2567319571614747,"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."}}