{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004265267,0.00132333,0.001791023,0.0006608106,0.003758792,0.00116163,0.002981145,0.002183878,0.01076178],"category_scores_gemma":[0.006812281,0.001578963,0.0009381488,0.002812999,0.001755745,0.001193802,0.0006439553,0.002067088,0.001383976],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316471,"about_ca_system_score_gemma":0.01199923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06187907,"about_ca_topic_score_gemma":0.007251142,"domain_scores_codex":[0.9848571,0.005609602,0.001312121,0.002532606,0.00267748,0.003011125],"domain_scores_gemma":[0.9826627,0.002626971,0.001055615,0.001276301,0.0004215707,0.01195681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008871355,0.0004637689,0.0008535315,0.0004414188,0.0003094504,0.0009478335,0.1326379,0.0008918297,0.0005733692,0.1105585,0.7503439,0.001091313],"study_design_scores_gemma":[0.004656521,0.0006303249,0.0009356475,0.00005466635,0.0002961349,0.00002542336,0.03658295,0.0007950371,0.0002967052,0.0006170379,0.9534547,0.001654895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1842504,0.004127688,0.00287124,0.7355458,0.004106805,0.003701165,0.007851788,0.001635596,0.05590945],"genre_scores_gemma":[0.6421984,0.005486843,0.0001657924,0.3467693,0.00262553,0.00003769547,0.0004451999,0.0001222413,0.00214898],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4579479,"threshold_uncertainty_score":0.9999518,"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."}}