{"id":"W4404679899","doi":"10.1101/2024.11.22.624784","title":"Unraveling SARS-CoV-2 Host-Response Heterogeneity through Longitudinal Molecular Subtyping","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Subtyping; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Host (biology); 2019-20 coronavirus outbreak; Biology; Host response; Evolutionary biology; Virology; Computational biology; Genetics; Medicine; Computer science; Outbreak; Disease; Pathology; Infectious disease (medical specialty)","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":[0.0009594195,0.0003404474,0.0004263355,0.0008072812,0.0003253942,0.0007090298,0.0002645408,0.0002364776,0.0009185094],"category_scores_gemma":[0.001368194,0.0001639166,0.0004364806,0.0007340176,0.0002382247,0.0003419167,0.0007500927,0.0005900579,0.000308626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772908,"about_ca_system_score_gemma":0.0004533592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470354,"about_ca_topic_score_gemma":0.002419696,"domain_scores_codex":[0.9994513,0.0001280382,0.00006641786,0.000182686,0.00006563893,0.0001058679],"domain_scores_gemma":[0.9992361,0.000121782,0.0002787114,0.0001457976,0.0001168675,0.0001007285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004329791,0.00008801445,0.9387078,0.0000675355,0.0002207292,0.0001411615,0.0002364405,0.0008838932,0.04216805,0.0001863282,0.0009743214,0.01589275],"study_design_scores_gemma":[0.00002031117,0.0002570831,0.9821774,0.00002270277,0.0001051441,0.0005467836,0.0003917545,0.006200477,0.00679632,0.0005878763,0.00287795,0.00001619249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939975,0.0003725238,0.003010157,0.0001297388,0.00001482416,0.00003313657,0.001927084,0.00004618546,0.0004689281],"genre_scores_gemma":[0.9912444,0.0001867116,0.003381621,0.0001643736,0.00002992598,0.00005604083,0.004650004,0.00002369879,0.0002633098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470354,"threshold_uncertainty_score":0.005073965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011553639324092,"score_gpt":0.3295031540623728,"score_spread":0.2793876176691319,"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."}}