{"id":"W4404696887","doi":"10.1080/19490976.2024.2431167","title":"Transcriptional profiling of zebrafish intestines identifies macrophages as host cells for human norovirus infection","year":2024,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Council; Natural Sciences and Engineering Research Council of Canada; European Commission; Vlaamse regering; KU Leuven; Fonds Wetenschappelijk Onderzoek; Alberta Innovates","keywords":"Biology; Norovirus; Zebrafish; Virology; Gene expression profiling; Murine norovirus; Host (biology); Microbiology; Profiling (computer programming); Computational biology; Genetics; Virus; Gene; Gene expression","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":[0.0001160618,0.0001519384,0.000137481,0.0003175276,0.0001705593,0.0001924815,0.00007434664,0.0001436735,0.0006734998],"category_scores_gemma":[0.0001412526,0.0001027239,0.0001382315,0.0001101079,0.0001710661,0.00009102876,0.0002114726,0.0001998823,0.0001819796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307805,"about_ca_system_score_gemma":0.0002119738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071389,"about_ca_topic_score_gemma":0.0040864,"domain_scores_codex":[0.999918,0.000008150105,0.000003512873,0.00002538751,0.00001919679,0.00002586682],"domain_scores_gemma":[0.9999508,0.00001044883,0.00001463241,0.000003705048,0.0000112778,0.000009112893],"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":[0.00007728717,0.00000369064,0.002637761,0.00001837315,0.00000189035,0.00003060674,0.00004555923,0.00003076588,0.9961117,0.00004829419,0.00002628348,0.0009677574],"study_design_scores_gemma":[0.0000258674,0.0005369554,0.2423646,0.0000470515,0.00006440593,0.0005357554,0.0007646519,0.002990453,0.7468085,0.0002987447,0.005541503,0.00002143461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924741,0.0010773,0.003799862,0.00007917704,0.00001224766,0.00003506598,0.001147845,0.00005546828,0.001318826],"genre_scores_gemma":[0.9923615,0.0007240972,0.003741937,0.00008441135,0.000009146504,0.00005205091,0.0009764607,0.00002030007,0.002030182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002071389,"threshold_uncertainty_score":0.004118621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109751880991878,"score_gpt":0.3520679735638301,"score_spread":0.3209704547539113,"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."}}