{"id":"W4379513728","doi":"10.51161/cronics2023/16103","title":"A COVID-19 E O DESENVOLVIMENTO DE DOENÇAS AUTOIMUNES: UMA REVISÃO DE LITERATURA","year":2023,"lang":"pt","type":"article","venue":"","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Auto Workers","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Medicine; Disease","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004972862,0.0006953088,0.000736187,0.0008844285,0.0008554548,0.001692202,0.002722851,0.0005883595,0.0005614334],"category_scores_gemma":[0.004201009,0.0006920969,0.0003517706,0.00428084,0.000186302,0.0007710024,0.001392308,0.001023663,0.003522511],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0038828,"about_ca_system_score_gemma":0.01095843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003730877,"about_ca_topic_score_gemma":0.0003239138,"domain_scores_codex":[0.99195,0.001408874,0.001159909,0.001711764,0.001007967,0.002761433],"domain_scores_gemma":[0.9923376,0.001789904,0.0003117909,0.002266843,0.0002427495,0.003051087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002246781,0.0005571126,0.08597147,0.01191506,0.0004722469,0.007799856,0.1527566,0.005512604,0.005466364,0.0853618,0.5983933,0.04556889],"study_design_scores_gemma":[0.001879549,0.0003818202,0.008090806,0.001078738,0.00006291786,0.0004985995,0.0009731722,0.5331933,0.0004388993,0.005782446,0.44608,0.001539679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1852847,0.006322389,0.628654,0.1620551,0.003954968,0.002790198,0.0001137124,0.008421289,0.002403648],"genre_scores_gemma":[0.7727768,0.001399983,0.01704854,0.12435,0.001065459,0.0002753895,0.00006825415,0.0002020931,0.08281343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6116055,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07724016446378576,"score_gpt":0.3882133369745243,"score_spread":0.3109731725107385,"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."}}