{"id":"W3196540742","doi":"10.22478/ufpb.2317-6032.2021v25n2.54423","title":"[ID 54423] FATORES PROGNÓSTICOS DE MORTALIDADE POR COVID-19 NO RIO GRANDE DO NORTE, BRASIL","year":2021,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciências da Saúde","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Gynecology; Internal 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":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.005103948,0.001773784,0.003592459,0.0006394786,0.001212815,0.001312613,0.001687789,0.001182039,0.005188635],"category_scores_gemma":[0.2703817,0.001746648,0.001590907,0.002562439,0.001563371,0.0004173671,0.001737603,0.003389338,0.001916729],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004489523,"about_ca_system_score_gemma":0.01977405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008957462,"about_ca_topic_score_gemma":0.0003172343,"domain_scores_codex":[0.9840395,0.002316746,0.003146862,0.003155091,0.003318866,0.004022917],"domain_scores_gemma":[0.9696037,0.01773413,0.001135861,0.00374035,0.001848913,0.005937094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00131535,0.002243498,0.8983443,0.01652194,0.002023517,0.01290276,0.001784872,0.0001330546,0.00448516,0.002267343,0.0537478,0.00423044],"study_design_scores_gemma":[0.008590563,0.001314237,0.6729923,0.004471871,0.002576163,0.0002971206,0.0009815019,0.001523847,0.0006329471,0.0001725966,0.3042746,0.002172238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071994,0.04230096,0.01451693,0.0108695,0.002066986,0.009040982,0.003701125,0.001561869,0.00874219],"genre_scores_gemma":[0.9555759,0.00501333,0.001103245,0.02212549,0.003043891,0.0005725877,0.0005537342,0.000418009,0.01159381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2652777,"threshold_uncertainty_score":0.9997241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06785358145808269,"score_gpt":0.4058133175851848,"score_spread":0.3379597361271021,"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."}}