{"id":"W4281483185","doi":"10.1111/irv.13004","title":"Predictors of all‐cause mortality among patients hospitalized with influenza, respiratory syncytial virus, or SARS‐CoV‐2","year":2022,"lang":"en","type":"article","venue":"Influenza and Other Respiratory Viruses","topic":"Respiratory viral infections research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Context (archaeology); Respiratory system; Medicine; Virus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pneumonia; Virology; Influenza A virus; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Immunology; Internal medicine; Biology; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001076336,0.0006309513,0.0009909526,0.0008067614,0.0005195942,0.00009406317,0.0004442344,0.0002548456,0.0008091523],"category_scores_gemma":[0.0004699445,0.0004920872,0.0002077187,0.001064398,0.001130298,0.0005961329,0.0004665202,0.0008733299,0.00003169414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003263646,"about_ca_system_score_gemma":0.0007010985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053721,"about_ca_topic_score_gemma":0.0003465471,"domain_scores_codex":[0.9943388,0.0008008241,0.001424758,0.0009494578,0.001717283,0.000768949],"domain_scores_gemma":[0.9970905,0.0001473411,0.0006708288,0.001276395,0.0003980167,0.0004169495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00470532,0.000915453,0.977924,0.0002050279,0.001325221,0.0001467289,0.0004422623,0.0000699707,0.01221261,0.00009354527,0.001719596,0.000240209],"study_design_scores_gemma":[0.005741927,0.004972805,0.4785539,0.00009068669,0.0003696963,0.000007172526,0.00008236954,0.00000569068,0.01605153,0.00001312134,0.4936697,0.0004413696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954185,0.0005941418,0.000008940221,0.000002782609,0.0002025541,0.001871492,0.0003949532,0.0002450341,0.001261579],"genre_scores_gemma":[0.9050465,0.000004008843,0.00004893966,0.09353231,0.0002533805,0.0008078266,0.00000329061,0.0002719883,0.00003178941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4993701,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1643795555283979,"score_gpt":0.414141082870537,"score_spread":0.2497615273421391,"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."}}