{"id":"W4400680680","doi":"10.1016/j.isci.2024.110529","title":"Multimodal analysis unveils tumor microenvironment heterogeneity linked to immune activity and evasion","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Oesterreichische Nationalbank; Österreichischen Akademie der Wissenschaften; Rosetrees Trust; European Commission; National Institute for Health and Care Research; Universität Innsbruck; Austrian Science Fund; University College London; Cancer Research UK; Wellcome Trust","keywords":"Tumor microenvironment; Immunotherapy; Immune system; Evasion (ethics); Computational biology; Biology; Cancer immunotherapy; Immune escape; Tumor heterogeneity; Cancer; Cancer research; Immunology; 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":[0.0001700993,0.0001063354,0.000111824,0.00006276686,0.00009060998,0.00006752167,0.0001409882,0.00004473267,0.000007659609],"category_scores_gemma":[0.0000157531,0.00009223349,0.00009188956,0.0002165645,0.0000999012,0.000006350181,0.0001055907,0.00005749593,0.00001048902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001892872,"about_ca_system_score_gemma":0.0000244675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138431,"about_ca_topic_score_gemma":0.0001030904,"domain_scores_codex":[0.9991184,0.00002842573,0.0001015975,0.0004537315,0.000115365,0.0001824791],"domain_scores_gemma":[0.9996414,0.000008145747,0.00001688215,0.0002251414,0.00001086412,0.00009751891],"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":[0.00002270105,0.00003816599,0.004000767,0.000009399691,0.00003838381,0.000004227601,0.00005552233,0.0002893618,0.9872646,0.000001632272,0.000007901588,0.008267374],"study_design_scores_gemma":[0.0001069567,0.000145677,0.1200284,0.000009972279,0.000059778,0.000006172851,0.000009888704,0.006502846,0.8707205,0.000004350386,0.002257337,0.0001480774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856787,0.001209346,0.01262509,0.0001712674,0.0001385719,0.0001089541,0.00002094193,0.000012677,0.00003443988],"genre_scores_gemma":[0.9985483,0.0000904355,0.001033304,0.0001230305,0.00004477957,0.000007588147,0.000008003141,0.000007065149,0.0001375032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116544,"threshold_uncertainty_score":0.3761172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251971421848677,"score_gpt":0.2529188994732081,"score_spread":0.2403991852547213,"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."}}