{"id":"W4391344409","doi":"10.1016/j.isci.2024.109049","title":"Bioluminescence imaging reveals enhanced SARS-CoV-2 clearance in mice with combinatorial regimens","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Héma-Québec; Centre Hospitalier de l’Université de Montréal","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health; Drugs for Neglected Diseases initiative; Wellcome Trust","keywords":"Favipiravir; Virology; Neutralizing antibody; Virus; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Coronavirus; Pharmacology; Immunology; Internal medicine; Disease; 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":[0.0002485655,0.0008230923,0.0005346378,0.000439643,0.0001394469,0.000317517,0.0003121128,0.0005572289,0.001288938],"category_scores_gemma":[0.00009761911,0.0002217813,0.0004203574,0.0001892655,0.0003404204,0.0004528674,0.0001504031,0.001376901,0.0002916724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400849,"about_ca_system_score_gemma":0.0002596229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006307822,"about_ca_topic_score_gemma":0.0008151057,"domain_scores_codex":[0.99976,0.00003277075,0.00001308804,0.00006696724,0.00004718281,0.00007992977],"domain_scores_gemma":[0.9999058,0.0000103668,0.00003080172,0.00001030271,0.00001038841,0.00003239587],"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":[0.0007123947,0.0004197767,0.0001295675,0.00003760101,0.00001168979,0.0000383156,0.00002165972,0.0002503469,0.9958503,0.00013778,0.0001804456,0.002210133],"study_design_scores_gemma":[0.00009996328,0.003634481,0.001209177,0.00000622919,0.00003160552,0.0001335479,0.0000255129,0.00270737,0.9904142,0.00008293564,0.001644931,0.000009979739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845013,0.001388109,0.008153435,0.0003942175,0.0001229319,0.0001419855,0.00102321,0.0004494414,0.003825418],"genre_scores_gemma":[0.9800389,0.001324975,0.009179505,0.0003476899,0.00004900762,0.0002909128,0.001333421,0.0001043825,0.007331232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001288938,"threshold_uncertainty_score":0.004311979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840304992178739,"score_gpt":0.3474220405091001,"score_spread":0.3190189905873128,"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."}}