{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000836655,0.000402546,0.000545022,0.002255261,0.0007760718,0.0008400713,0.0005816128,0.0006909697,0.01072541],"category_scores_gemma":[0.004101662,0.0003017414,0.0006315916,0.00287112,0.0002863699,0.000318776,0.0005576108,0.0004557699,0.001216171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208624,"about_ca_system_score_gemma":0.00232047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1690143,"about_ca_topic_score_gemma":0.1962529,"domain_scores_codex":[0.999642,0.000076125,0.00006089338,0.0000839381,0.00009036301,0.00004671423],"domain_scores_gemma":[0.9986448,0.0002657747,0.000494031,0.0001061135,0.0003557181,0.0001336145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006819805,0.00008614975,0.8969897,0.002154936,0.000247085,0.0006492747,0.0007680253,0.0003271564,0.0008133802,0.001252933,0.0199253,0.07610404],"study_design_scores_gemma":[0.000146033,0.0002022832,0.9660216,0.002055293,0.0005434086,0.001153719,0.0005849186,0.000597342,0.0002011596,0.0006540702,0.02781154,0.00002858071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7363439,0.05067379,0.004602415,0.006845081,0.001119562,0.001643048,0.1181766,0.0003800401,0.08021567],"genre_scores_gemma":[0.9323575,0.01443796,0.005002663,0.001252203,0.0002608029,0.0008360092,0.02925513,0.00006972772,0.01652797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1690143,"threshold_uncertainty_score":0.336061,"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."}}