{"id":"W4385708089","doi":"10.3389/fimmu.2023.1220081","title":"Evolution and expression of the duck TRIM gene repertoire","year":2023,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"interferon and immune responses","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Alberta Innovates; Compute Canada","keywords":"Repertoire; Gene; Biology; Genetics; Expression (computer science); Gene expression; Computational biology; Evolutionary biology; Computer science; Art","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":[0.0001148128,0.0001222638,0.0002102308,0.0004755135,0.0003239809,0.00041724,0.0001328679,0.0002589513,0.0006828906],"category_scores_gemma":[0.0002445387,0.0001971747,0.0002022773,0.0003087013,0.0002447372,0.000192919,0.0003184829,0.0003189207,0.0004002978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000345785,"about_ca_system_score_gemma":0.000130292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002313691,"about_ca_topic_score_gemma":0.005597455,"domain_scores_codex":[0.9998515,0.0000106954,0.000007234042,0.00008060938,0.00002553101,0.00002440376],"domain_scores_gemma":[0.9998575,0.00002949136,0.00003395856,0.00001447868,0.00003869397,0.00002570762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002879065,0.00001697125,0.1057875,0.0001551431,0.00006332651,0.0002970284,0.0007927807,0.0005251903,0.8762987,0.0002126748,0.0003994107,0.01516351],"study_design_scores_gemma":[0.000005654025,0.00007788329,0.9701798,0.00003122761,0.00004662855,0.0006217656,0.0004730912,0.001992163,0.0207424,0.0000993613,0.005708335,0.00002167575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973157,0.0003744119,0.0004905594,0.00001810175,0.00000497273,0.000003610224,0.001064184,0.00001608709,0.0007123622],"genre_scores_gemma":[0.9927441,0.0003066128,0.001598723,0.00008867401,0.00000677412,0.00001690131,0.003262055,0.00004309206,0.001933183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002313691,"threshold_uncertainty_score":0.004600406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007721292706612743,"score_gpt":0.2167007243381763,"score_spread":0.2089794316315635,"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."}}