{"id":"W4206221448","doi":"10.47094/iicnnesp.2021/128","title":"PREVENÇÃO CONTRA À COVID-19 EM CUMUNIDADES RIBEIRINHAS DA AMAZÔNIA: UMA REVISÃO LITERÁRIA","year":2021,"lang":"pt","type":"article","venue":"","topic":"Education during COVID-19 pandemic","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Liter; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Virology; Medicine; Outbreak","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00292383,0.0006294807,0.0009714729,0.0002482785,0.001603219,0.001536698,0.001316083,0.0006754834,0.02215094],"category_scores_gemma":[0.009031422,0.000670136,0.0004870982,0.00201648,0.0006540185,0.0006959476,0.0004481782,0.0008589088,0.001905949],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511357,"about_ca_system_score_gemma":0.008339196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323938,"about_ca_topic_score_gemma":0.008143818,"domain_scores_codex":[0.9922914,0.002383868,0.001314065,0.001460491,0.001200922,0.00134929],"domain_scores_gemma":[0.9934578,0.002220192,0.0005888013,0.001485719,0.0006317974,0.00161568],"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":[0.0001307537,0.001696906,0.07767697,0.00214831,0.0007924984,0.0003781157,0.414932,0.0001221844,0.001593574,0.07359473,0.4172773,0.009656636],"study_design_scores_gemma":[0.001938354,0.0001153095,0.006937305,0.0005475196,0.0003177544,0.00006013313,0.09887519,0.0001835279,0.0006001513,0.00424623,0.8848379,0.001340594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6952658,0.0206657,0.005198209,0.2032942,0.009779119,0.003343488,0.0002648382,0.001729204,0.0604595],"genre_scores_gemma":[0.6846594,0.001609153,0.0006584109,0.01849077,0.001445849,0.00008922604,0.00006923045,0.00007624827,0.2929017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4675606,"threshold_uncertainty_score":0.9996966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051918035277729,"score_gpt":0.4211992849189013,"score_spread":0.3160074813911283,"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."}}