{"id":"W4392140636","doi":"10.34019/1981-2140.2022.41842","title":"ETNOGRAFIAS EM TEMPOS DE PANDEMIA","year":2023,"lang":"pt","type":"article","venue":"CSOnline - REVISTA ELETRÔNICA DE CIÊNCIAS SOCIAIS","topic":"Education during COVID-19 pandemic","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Virology; Coronavirus disease 2019 (COVID-19); Medicine; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007929503,0.0008743461,0.00130731,0.0006433211,0.0022773,0.000903144,0.002269962,0.001448479,0.0009150794],"category_scores_gemma":[0.0104453,0.001027862,0.001010294,0.005957701,0.0008292578,0.00042742,0.0005359355,0.001952381,0.002465645],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003821352,"about_ca_system_score_gemma":0.005842095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009010103,"about_ca_topic_score_gemma":0.001381757,"domain_scores_codex":[0.990427,0.001782321,0.001660577,0.00147923,0.001593679,0.003057246],"domain_scores_gemma":[0.9929605,0.00267057,0.001071551,0.001377767,0.0005774073,0.001342221],"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":[0.00006247407,0.0006144945,0.2933125,0.0009546215,0.0004733743,0.0001389824,0.1139951,0.00005179822,0.0007501756,0.004579368,0.5746506,0.01041658],"study_design_scores_gemma":[0.001420865,0.0001562987,0.1289333,0.0009850607,0.0005337447,0.00002134568,0.0578968,0.0008351888,0.0000762626,0.00174734,0.8055718,0.001821988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411084,0.005637927,0.0005901975,0.04468257,0.001604726,0.001477339,0.0003260708,0.002153041,0.002419718],"genre_scores_gemma":[0.9253398,0.007988624,0.0007698138,0.009586304,0.005993974,0.0002695327,0.000301234,0.000333825,0.04941688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2309211,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06454707359184929,"score_gpt":0.3957521600428817,"score_spread":0.3312050864510324,"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."}}