{"id":"W3084327469","doi":"10.22481/ccsa.v17i30.7137","title":"A resposta da Universidade Federal da Bahia para o fortalecimento do enfrentamento da COVID-19 no município de Vitória da Conquista","year":2020,"lang":"pt","type":"article","venue":"Cadernos de Ciências Sociais Aplicadas","topic":"Education during COVID-19 pandemic","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Art; Medicine","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":[0.001809629,0.0001638286,0.0002353565,0.000732679,0.003385572,0.002607144,0.000673308,0.0007105045,0.005752708],"category_scores_gemma":[0.005584603,0.0002207071,0.0002386689,0.0009767383,0.001388954,0.0007198941,0.00279323,0.0007858624,0.0002446948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006737646,"about_ca_system_score_gemma":0.01492477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2098222,"about_ca_topic_score_gemma":0.4684446,"domain_scores_codex":[0.9983268,0.000581557,0.00006348026,0.000142229,0.0002200828,0.0006659114],"domain_scores_gemma":[0.9968262,0.0005557911,0.0006691208,0.0001206709,0.0006294332,0.001198773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002033814,0.0002703732,0.7573769,0.0005897171,0.00007286101,0.0009676604,0.1182996,0.0002695841,0.004816705,0.02003659,0.004894142,0.09220246],"study_design_scores_gemma":[0.00001422689,0.0003041872,0.7734639,0.0006777059,0.00007108865,0.0003258061,0.1708975,0.0002730411,0.0005762052,0.001205384,0.05215406,0.00003691099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749967,0.001905379,0.0005967624,0.007538909,0.0001025205,0.00007222352,0.0002856021,0.00001920279,0.01448261],"genre_scores_gemma":[0.9971706,0.0004719848,0.0003281354,0.0002972402,0.00001214218,0.00002867959,0.00003500083,0.000002190337,0.001654026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098222,"threshold_uncertainty_score":0.4172018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110054098938165,"score_gpt":0.3869689002512735,"score_spread":0.2769148013131085,"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."}}