{"id":"W4406665809","doi":"10.1093/molbev/msaf017","title":"Single-cell and Spatial Transcriptomics Illuminate Bat Immunity and Barrier Tissue Evolution","year":2025,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"University of California, San Francisco; Narodowa Agencja Wymiany Akademickiej; Associazione Italiana per la Ricerca sul Cancro; Israel Science Foundation; European Research Council; Narodowym Centrum Nauki; Genome British Columbia; Chan Zuckerberg Initiative","keywords":"Biology; Transcriptome; Gene; Innate immune system; Immunity; Complement system; Vertebrate; Immune system; Genetics; Phenotype; Lineage (genetic); Gene expression; Immunology; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236464,0.0001117112,0.0001635805,0.0001330721,0.0001848158,0.000009696008,0.00001781597,0.000211793,0.000009539664],"category_scores_gemma":[0.00004239468,0.0001024038,0.0000266097,0.0001064671,0.0002623712,0.00003983393,0.0000307538,0.0001560661,0.000001455455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006042224,"about_ca_system_score_gemma":0.00003043777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008697607,"about_ca_topic_score_gemma":0.0001035376,"domain_scores_codex":[0.9993983,0.00008973003,0.0001300469,0.000207261,0.00002705509,0.0001475931],"domain_scores_gemma":[0.9997472,0.00001468253,0.00002679778,0.0001070519,0.00004484127,0.00005949663],"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":[0.0001123133,0.00006600597,0.04575554,0.00006175856,0.00003477479,0.000003629195,0.00007297806,0.000001340463,0.9429166,0.003248004,0.00003580953,0.007691215],"study_design_scores_gemma":[0.005136489,0.002853397,0.7243231,0.0001763331,0.0006980196,0.0002487517,0.0004081946,0.005790802,0.236327,0.01310654,0.01039847,0.000532929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835727,0.004029811,0.1109848,0.0003105025,0.0001727994,0.0001710985,0.000008002774,0.0000283793,0.0007219638],"genre_scores_gemma":[0.9992,0.0001394397,0.0002140112,0.0001295621,0.00002481898,0.000007432664,0.00003195534,0.000006022814,0.0002467559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7065896,"threshold_uncertainty_score":0.4175905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006287516994126346,"score_gpt":0.2541886810152382,"score_spread":0.2479011640211119,"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."}}