{"id":"W4214544930","doi":"10.1038/s41587-021-01186-x","title":"Multiscale PHATE identifies multimodal signatures of COVID-19","year":2022,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal; Montreal Heart Institute","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; Fondation Institut de Cardiologie de Montréal; Institut de Valorisation des Données; National Institute of Allergy and Infectious Diseases; Howard Hughes Medical Institute; Institut de Cardiologie de Montréal; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Agency for Healthcare Research and Quality; Yale University; National Institute of General Medical Sciences; National Institute of Mental Health; Canadian Institute for Advanced Research; Strong","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Computational biology; Computer science; Biology; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003191701,0.0004294538,0.0002704712,0.001126841,0.000205261,0.0009720793,0.0002507064,0.0006696098,0.002089919],"category_scores_gemma":[0.0009690994,0.0002114785,0.0002988324,0.0004471351,0.0002354093,0.000715779,0.0007376718,0.0005036696,0.000776512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397573,"about_ca_system_score_gemma":0.0002273206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004408012,"about_ca_topic_score_gemma":0.0008148906,"domain_scores_codex":[0.9998486,0.00001981303,0.000006629751,0.0000328658,0.00005262584,0.0000393024],"domain_scores_gemma":[0.9997737,0.00006795902,0.00004137026,0.00002016752,0.0000666243,0.00003019243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000925117,0.0001888047,0.024954,0.0003706529,0.0001592904,0.001200006,0.0001830457,0.01103358,0.8248629,0.004013391,0.004528414,0.1275808],"study_design_scores_gemma":[0.0000604146,0.0004748293,0.05081502,0.0001098767,0.0002972872,0.002833142,0.0005115996,0.5137973,0.4081416,0.008902805,0.01393221,0.0001239416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6604578,0.002408595,0.3203316,0.000653749,0.0002450972,0.0001357882,0.001192608,0.0009850017,0.01358967],"genre_scores_gemma":[0.9453595,0.0008287661,0.04958289,0.0002591549,0.0001053588,0.00005924427,0.0006699953,0.0001057713,0.003029294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002089919,"threshold_uncertainty_score":0.006991446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449823907618597,"score_gpt":0.3281943835903731,"score_spread":0.3136961445141871,"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."}}