{"id":"W3204725468","doi":"10.1007/s00134-021-06524-w","title":"External validation of prognostic scores for COVID-19: a multicenter cohort study of patients hospitalized in Greater Paris University Hospitals","year":2021,"lang":"en","type":"article","venue":"Intensive Care Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Sorbonne Université; Assistance publique-Hôpitaux de Paris; Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale; Institut des maladies génétiques Imagine; Institut national de recherche en informatique et en automatique (INRIA); McGill University","keywords":"Medicine; Cohort; Intensive care unit; Retrospective cohort study; Emergency medicine; Cohort study; Receiver operating characteristic; Coronavirus disease 2019 (COVID-19); Intensive care; Anesthesiology; Severity of illness; Internal medicine; Intensive care medicine; Disease; Anesthesia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01060307,0.001188127,0.0009207372,0.00253723,0.001488058,0.002362151,0.001401392,0.001241229,0.001739757],"category_scores_gemma":[0.02210219,0.0004677829,0.0009690846,0.002690134,0.001064727,0.00119549,0.002704171,0.001145191,0.0006280736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869994,"about_ca_system_score_gemma":0.002375192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106771,"about_ca_topic_score_gemma":0.01094677,"domain_scores_codex":[0.9909464,0.004542216,0.0008182144,0.001518524,0.001030258,0.001144529],"domain_scores_gemma":[0.9839333,0.004328674,0.003930314,0.002601861,0.003779696,0.001426161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003685055,0.0001185133,0.9964346,0.00001743504,0.0001539153,0.00006741787,0.0002725931,0.00007002612,0.0002036028,0.00005799493,0.0005569691,0.001678455],"study_design_scores_gemma":[0.0001309282,0.0003152519,0.9969493,0.00003977467,0.0000964756,0.0001709739,0.0007132475,0.0003291678,0.0001699449,0.00004656645,0.001025817,0.00001272092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970586,0.0002138193,0.0003787265,0.0001054173,0.00003091666,0.0001103062,0.001496415,0.000008786662,0.000597037],"genre_scores_gemma":[0.9942706,0.0001028569,0.0006570503,0.0001259676,0.00006038531,0.0001856072,0.004351548,0.00001586852,0.0002302726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0106771,"threshold_uncertainty_score":0.05607504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877299872242202,"score_gpt":0.3888527826242467,"score_spread":0.3500797839018246,"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."}}