{"id":"W3130339520","doi":"10.5216/bgg.v40.64813","title":"GUERRA DO BRASIL À COVID-19: CRISE E NÃO CONFLITO—MÉDICOS E NÃO GENERAIS: BRAZIL’S WAR ON COVID-19: CRISIS, NOT CONFLICT—DOCTORS, NOT GENERALS","year":2020,"lang":"pt","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bureaucracy; Coronavirus disease 2019 (COVID-19); Pandemic; Political science; Public health; Administration (probate law); 2019-20 coronavirus outbreak; Public administration; Political economy; Sociology; Virology; Law; Medicine; Disease; Politics","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":[0.002931192,0.0003128141,0.0004167026,0.0006218816,0.005106432,0.003473563,0.0008976523,0.005338301,0.002672519],"category_scores_gemma":[0.00870089,0.0002051097,0.000449078,0.0007735574,0.007938494,0.002015068,0.001813275,0.005856262,0.000255625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007842959,"about_ca_system_score_gemma":0.009007846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.142042,"about_ca_topic_score_gemma":0.3215275,"domain_scores_codex":[0.9980049,0.001039995,0.00009834619,0.0002234931,0.0002924963,0.0003407638],"domain_scores_gemma":[0.9960627,0.002640188,0.0004405646,0.0001151745,0.0004130892,0.0003283088],"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":[0.00006905251,0.00003003232,0.007171463,0.00124072,0.00004163587,0.003337544,0.1216682,0.0002540896,0.001936378,0.6651529,0.150427,0.04867086],"study_design_scores_gemma":[0.00001339055,0.00002688868,0.007050369,0.001813996,0.00003682038,0.001065606,0.03515256,0.0001761321,0.0004502356,0.02780839,0.9263587,0.00004684011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02666798,0.03740742,0.0008314623,0.878627,0.004739753,0.00002153677,0.00006462747,0.00002300817,0.05161717],"genre_scores_gemma":[0.7333562,0.04123903,0.001128448,0.2017659,0.004546597,0.00004133686,0.00004756001,0.00006018121,0.01781477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.142042,"threshold_uncertainty_score":0.2824304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06633349405159109,"score_gpt":0.3663321626486113,"score_spread":0.2999986685970203,"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."}}