{"id":"W3123719184","doi":"10.1101/2020.05.28.122291","title":"Lung cancer models reveal SARS-CoV-2-induced EMT contributes to COVID-19 pathophysiology","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Genentech; National Institutes of Health; Sierra Oncology; Astellas Pharma; EMD Serono; International Association for the Study of Lung Cancer; Ribon Therapeutics; Cancer Prevention and Research Institute of Texas; U.S. Department of Defense; Sanofi; Exelixis; Khalifa Bin Zayed Al Nahyan Foundation; GlaxoSmithKline; University of Texas MD Anderson Cancer Center; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Coronavirus disease 2019 (COVID-19); Pathophysiology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Lung cancer; Sars virus; Medicine; Cancer; Virology; Betacoronavirus; Coronavirus; Pathology; Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.0001483277,0.0003065741,0.0002260584,0.0003355337,0.0001955033,0.0002711489,0.0001364591,0.000318828,0.002334356],"category_scores_gemma":[0.00006091107,0.0001408423,0.0003223209,0.0001656128,0.0001690564,0.0002203757,0.0002139944,0.0007490494,0.0005294217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236663,"about_ca_system_score_gemma":0.000201769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007988567,"about_ca_topic_score_gemma":0.001186821,"domain_scores_codex":[0.9998803,0.00002423872,0.000007382218,0.00001424176,0.00003485426,0.00003898413],"domain_scores_gemma":[0.9999421,0.000005058905,0.0000139429,0.000007886626,0.00001086195,0.00002019775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003869969,0.000124701,0.001031013,0.00005163537,0.00001003341,0.0001812252,0.00001762807,0.00009162173,0.9963123,0.0002043247,0.0001866764,0.001401964],"study_design_scores_gemma":[0.00009530969,0.002301317,0.04747377,0.00003220615,0.00005101721,0.002340948,0.0002158494,0.004321159,0.9330844,0.0004562992,0.009615043,0.00001262361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873045,0.00332252,0.004339015,0.0004001692,0.00005638563,0.0001054582,0.001031989,0.0002082771,0.003231665],"genre_scores_gemma":[0.993058,0.00116089,0.001230063,0.0001083047,0.00001004109,0.0000621176,0.0009226452,0.000011203,0.003436773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002334356,"threshold_uncertainty_score":0.007809222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08539270804126863,"score_gpt":0.3675545588437379,"score_spread":0.2821618508024693,"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."}}