{"id":"W3157127000","doi":"10.1016/j.coph.2021.04.006","title":"Organotypic human ex vivo models for coronavirus disease 2019 research and drug development","year":2021,"lang":"en","type":"review","venue":"Current Opinion in Pharmacology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Ontario Institute for Cancer Research; Svenska Sällskapet för Medicinsk Forskning; European Commission; McGill University; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Kungliga Tekniska Högskolan; Knut och Alice Wallenbergs Stiftelse; Eli Lilly and Company","keywords":"Ex vivo; Virology; Coronavirus disease 2019 (COVID-19); Drug development; Drug; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Drug discovery; Medicine; In vivo; Biology; Computational biology; Disease; Pharmacology; Bioinformatics; Infectious disease (medical specialty); Genetics; Pathology; Outbreak","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":[0.0005791506,0.000636765,0.001093,0.001416553,0.0001648831,0.0008748056,0.0006656249,0.0008279873,0.005369132],"category_scores_gemma":[0.0004069964,0.0002437554,0.0006292861,0.0009087645,0.000297628,0.0009504542,0.0004600464,0.00160589,0.003339985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000446462,"about_ca_system_score_gemma":0.0007363886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005546649,"about_ca_topic_score_gemma":0.001345484,"domain_scores_codex":[0.9998428,0.00003319855,0.00002041955,0.00002522161,0.00005973682,0.00001871439],"domain_scores_gemma":[0.9997968,0.00007489587,0.00003164994,0.000009571013,0.00006735543,0.00001975596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001727875,0.0001565421,0.000185049,0.01754379,0.000134341,0.0002310768,0.00006672954,0.0004665962,0.01804011,0.006383611,0.03332812,0.9232913],"study_design_scores_gemma":[0.00002919895,0.0002792426,0.0005525271,0.001632459,0.0001436524,0.0007832642,0.00003842836,0.0001314136,0.003838302,0.001395977,0.9911512,0.00002448045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004365555,0.9952815,0.0006696423,0.0004155442,0.0003686675,0.00002696989,0.0001105159,0.00002521832,0.002665347],"genre_scores_gemma":[0.001815176,0.9949345,0.0008106664,0.0003260071,0.0001314616,0.00002853124,0.0002189491,0.000004492626,0.001730098],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005369132,"threshold_uncertainty_score":0.0179615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4466097250239165,"score_gpt":0.5820684416303749,"score_spread":0.1354587166064583,"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."}}