{"id":"W2162955464","doi":"10.1016/j.cell.2015.08.027","title":"Pathogen Cell-to-Cell Variability Drives Heterogeneity in Host Immune Responses","year":2015,"lang":"en","type":"article","venue":"Cell","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":353,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases; Klarman Cell Observatory, Broad Institute; National Institutes of Health","keywords":"Biology; Immune system; Pathogen; Bacteria; Antigenic variation; Phenotype; Salmonella; Host (biology); Population; Phase variation; Cell; Microbiology; Cell type; Immunology; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006036243,0.0002175705,0.0002215599,0.00005654644,0.00004905287,0.00003021751,0.000317004,0.000216593,0.00001366139],"category_scores_gemma":[0.00009279223,0.0002181037,0.0001133232,0.0001284529,0.00006679101,0.000004652789,0.000137379,0.0001329319,0.00006098587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003714238,"about_ca_system_score_gemma":0.0001586351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017202,"about_ca_topic_score_gemma":0.00006377895,"domain_scores_codex":[0.9984297,0.0002632577,0.0003103557,0.0005099331,0.0001371343,0.0003496134],"domain_scores_gemma":[0.9989958,0.00003170982,0.00006307039,0.0005977277,0.00008839562,0.0002232604],"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":[0.0003596426,0.0003951414,0.0200344,0.00003205372,0.000004471303,0.000009248514,0.0002457275,0.00008850051,0.9784495,0.00000142605,0.0002955926,0.00008424569],"study_design_scores_gemma":[0.001105949,0.0003613775,0.007802321,0.000006388276,0.00001128908,0.000002247979,0.000090701,0.00004248352,0.9751044,0.00002870187,0.01516611,0.0002780316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923914,0.0008011276,0.001049274,0.00006038811,0.0003285944,0.0002772326,0.00005986748,0.00001841538,0.005013711],"genre_scores_gemma":[0.9967035,0.00007428283,0.001476629,0.0002192594,0.000121514,0.00001935491,0.00008419708,0.00003249181,0.001268745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487052,"threshold_uncertainty_score":0.8894011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900444221603946,"score_gpt":0.2429116051949206,"score_spread":0.2239071629788811,"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."}}