{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002666129,0.001237783,0.001403453,0.0003591315,0.00362531,0.002615185,0.003696343,0.001629457,0.004266833],"category_scores_gemma":[0.005239619,0.001582553,0.0008205247,0.002206098,0.00183874,0.0009620133,0.001157838,0.002175517,0.001128794],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01231491,"about_ca_system_score_gemma":0.01284219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01363566,"about_ca_topic_score_gemma":0.003152287,"domain_scores_codex":[0.9884082,0.002205386,0.001580694,0.002410629,0.002320902,0.003074186],"domain_scores_gemma":[0.9900182,0.002171888,0.001365397,0.001453689,0.0005197083,0.004471065],"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":[0.0006896747,0.0006224368,0.10525,0.0006893494,0.0008557466,0.0002537212,0.4159421,0.0001146319,0.006015092,0.01449346,0.4545019,0.0005718926],"study_design_scores_gemma":[0.003795262,0.0003884287,0.006831831,0.0002434039,0.0005114992,0.00002014585,0.1600479,0.0004042142,0.0004594833,0.001371154,0.8239862,0.001940444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460945,0.005090555,0.001891146,0.1280667,0.001778206,0.003808565,0.000943496,0.001093962,0.01123282],"genre_scores_gemma":[0.9294243,0.001181085,0.0003078802,0.04624506,0.002733121,0.0002184011,0.0002550023,0.0002465859,0.01938851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3694844,"threshold_uncertainty_score":0.9996666,"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."}}