{"id":"W6939595327","doi":"10.60692/63kq4-n9h60","title":"Identifying Immunological and Clinical Predictors of COVID-19 Severity and Sequelae by Mathematical Modeling","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Disease; Predictive value; Receiver operating characteristic; Multiplex; Procalcitonin; Predictive value of tests; Severity of illness; Proinflammatory cytokine","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":[0.001339072,0.001021122,0.0008661019,0.0008428852,0.0003687195,0.00112723,0.001043828,0.0008951102,0.001121787],"category_scores_gemma":[0.00293477,0.0005269299,0.001424524,0.0004286581,0.0004729468,0.0005363658,0.000931423,0.0009410505,0.0002193347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008137093,"about_ca_system_score_gemma":0.001239396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157005,"about_ca_topic_score_gemma":0.00590708,"domain_scores_codex":[0.9996881,0.0001251713,0.00001761936,0.00007376468,0.00003614003,0.00005917388],"domain_scores_gemma":[0.9987593,0.0008358863,0.0001822808,0.00003696689,0.0001243783,0.00006114113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006532123,0.00007006777,0.01288684,0.0000252765,0.00009238146,0.00008199622,0.00003519407,0.9802384,0.0004901355,0.001729179,0.0002328553,0.004052285],"study_design_scores_gemma":[0.000004020297,0.00001322553,0.0007191607,0.000003023898,0.00001071041,0.00001215073,0.000006349171,0.9983779,0.00004587865,0.0007190558,0.0000851505,0.000003230203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6670629,0.001363987,0.3235127,0.001482153,0.00009340174,0.0001747335,0.001179019,0.0004295757,0.004701383],"genre_scores_gemma":[0.9794333,0.0005276336,0.01640503,0.0001255067,0.00005146131,0.0002390442,0.00060468,0.00003563574,0.002577661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01157005,"threshold_uncertainty_score":0.02300543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1487801074039163,"score_gpt":0.3904348105556266,"score_spread":0.2416547031517103,"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."}}