{"id":"W4396732118","doi":"10.51161/conaisa2023/34360","title":"PERFIL SOCIODEMOGRÁFICO E CLÍNICO DE CRIANÇAS NASCIDAS PRÉ-TERMO DEVIDO A COVID-19 NA GESTANTE","year":2024,"lang":"pt","type":"article","venue":"","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Internal 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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.002911191,0.0008646534,0.0009659854,0.0004306107,0.002386575,0.0002436769,0.0008929529,0.001435785,0.03011033],"category_scores_gemma":[0.0005662018,0.0007239864,0.0005153415,0.0007779705,0.0002855272,0.0004353818,0.0007176306,0.003299432,0.01259821],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237676,"about_ca_system_score_gemma":0.008723843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107525,"about_ca_topic_score_gemma":0.003725067,"domain_scores_codex":[0.9910339,0.002130496,0.001733464,0.001531006,0.0009678257,0.00260335],"domain_scores_gemma":[0.993632,0.002121283,0.00028643,0.0009714839,0.0002256624,0.002763141],"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":[0.001839634,0.0005955379,0.04672994,0.1205574,0.0006312278,0.007275145,0.1393491,0.00001217542,0.0007398335,0.09720851,0.5250222,0.06003932],"study_design_scores_gemma":[0.002047231,0.0007254609,0.008429675,0.007283285,0.0002829263,0.000566742,0.02019014,0.01115582,0.0001969442,0.007789847,0.9397109,0.001620985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4781254,0.08752505,0.01029987,0.3720412,0.01778925,0.006370557,0.004021463,0.003903326,0.01992388],"genre_scores_gemma":[0.7824516,0.00343827,0.0003167784,0.03743939,0.001584707,0.0002393154,0.0001108557,0.0002035497,0.1742156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4146887,"threshold_uncertainty_score":0.9998606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275883223438608,"score_gpt":0.4828666566668747,"score_spread":0.3552783343230139,"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."}}