{"id":"W4407898024","doi":"10.1007/978-981-96-1907-8_2","title":"Single Cell RNA-Seq Analysis Reveals Similarities Between Colorectal, Liver and Lung T Cells’ Populations","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"RNA-Seq; Computational biology; Biology; Genetics; Transcriptome; Gene; Gene expression","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":[0.0003322888,0.0001707479,0.0002368344,0.0005770827,0.0003833834,0.0002260805,0.0006225187,0.0001832015,0.000005366755],"category_scores_gemma":[0.00001752613,0.0001841892,0.0000673306,0.0002794298,0.0005813253,0.0001228469,0.0006250823,0.0001926067,0.000001656114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000435167,"about_ca_system_score_gemma":0.0001047696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003934724,"about_ca_topic_score_gemma":0.00006980188,"domain_scores_codex":[0.9989955,0.00002858827,0.0004557288,0.0002216573,0.0001532531,0.00014527],"domain_scores_gemma":[0.9987589,0.00006319918,0.0001767428,0.0007119387,0.0002231017,0.0000661357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002041429,0.0008291032,0.1041466,0.002585545,0.001791332,0.000004511594,0.01780812,0.009938585,0.06393134,0.2234961,0.02122592,0.5540387],"study_design_scores_gemma":[0.003379498,0.001066764,0.07372074,0.001105699,0.002432645,0.00001908253,0.0003554156,0.4567527,0.02362263,0.006734606,0.4263621,0.004448147],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1107613,0.01155231,0.3264101,0.001066523,0.0009388117,0.002129409,0.001031103,0.0001330382,0.5459773],"genre_scores_gemma":[0.9614273,0.005584173,0.02791378,0.0005003755,0.00005710117,0.00001393148,0.0009068625,0.0000101111,0.003586374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8506659,"threshold_uncertainty_score":0.7511017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933999975027412,"score_gpt":0.2712718949696448,"score_spread":0.2319318952193706,"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."}}