{"id":"W3104207543","doi":"10.1080/26395916.2020.1845804","title":"Brazil’s policies threaten <i>Quilombola</i> communities and their lands amid the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Ecosystems and People","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Queen Elizabeth Scholars; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Livelihood; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Geography; Environmental planning; Development economics; Economic growth; Environmental protection; Agriculture; Virology; Economics; Biology; Archaeology; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001812961,0.00026441,0.0002461049,0.0006320878,0.003256779,0.002637364,0.0005342739,0.002195096,0.004526495],"category_scores_gemma":[0.004956722,0.0001707668,0.0003370987,0.0006882688,0.002315467,0.001232614,0.003145137,0.002017542,0.0002593827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006021729,"about_ca_system_score_gemma":0.01694883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1926437,"about_ca_topic_score_gemma":0.2922128,"domain_scores_codex":[0.9990354,0.0002513927,0.00002417716,0.00005323205,0.0001679388,0.0004678944],"domain_scores_gemma":[0.9985511,0.000403132,0.000228051,0.0001096945,0.0002748191,0.0004331658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001187336,0.0001432387,0.05404441,0.001174461,0.00009795165,0.00326672,0.04708389,0.001407073,0.01013997,0.6229816,0.07321919,0.1863228],"study_design_scores_gemma":[0.00004819279,0.00009140014,0.05394744,0.0017902,0.00008190837,0.0006187405,0.0177514,0.0007796875,0.00116701,0.03890264,0.8847747,0.00004672556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3062099,0.01637559,0.002941376,0.4028571,0.0006593256,0.0001769207,0.0007107402,0.0001790699,0.26989],"genre_scores_gemma":[0.9605044,0.004624593,0.002259434,0.02125655,0.0001133338,0.00005920847,0.000115805,0.00003877739,0.01102796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1926437,"threshold_uncertainty_score":0.3830448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03922139044089216,"score_gpt":0.2308861025039256,"score_spread":0.1916647120630334,"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."}}