{"id":"W3137075123","doi":"10.5752/p.1809-6182.2020v17n3p33-46","title":"Os BRICS frente à pandemia da COVID-19: uma análise preliminar sobre políticas comparadas","year":2021,"lang":"pt","type":"article","venue":"Conjuntura Internacional","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Political science; Coronavirus disease 2019 (COVID-19); Economic growth; Economics; Medicine; Infectious disease (medical specialty)","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":[0.00273898,0.0003077874,0.0004600675,0.00317023,0.001705186,0.002708134,0.0005465353,0.0007508343,0.00838314],"category_scores_gemma":[0.00964787,0.0003158428,0.0006193813,0.005464025,0.001384911,0.001859017,0.001581343,0.0009777211,0.0005611433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797091,"about_ca_system_score_gemma":0.003686923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0891835,"about_ca_topic_score_gemma":0.1466677,"domain_scores_codex":[0.9976914,0.0006930348,0.0001919216,0.0003797908,0.0005833359,0.000460486],"domain_scores_gemma":[0.9927229,0.00271185,0.002264373,0.0003229226,0.001597287,0.0003806528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003352398,0.00006921205,0.8582684,0.001785547,0.0002196978,0.00115001,0.0438388,0.0004560413,0.00246476,0.01591988,0.006913734,0.06857869],"study_design_scores_gemma":[0.000007680285,0.0001134056,0.8548933,0.0006684224,0.0002391371,0.0005175883,0.08052322,0.0005308706,0.0007598373,0.001706732,0.05999329,0.00004650554],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171703,0.007574416,0.0038761,0.005936253,0.0001723622,0.0002698928,0.004099954,0.00006581178,0.06083504],"genre_scores_gemma":[0.985082,0.00378406,0.001898347,0.000494076,0.00006407849,0.0001344768,0.0009550113,0.00001993882,0.007567932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0891835,"threshold_uncertainty_score":0.1773288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286598999065956,"score_gpt":0.2866275995987647,"score_spread":0.2537616096081052,"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."}}