{"id":"W4389241701","doi":"10.1158/2326-6074.tumimm23-a040","title":"Abstract A040: Spatially resolved immune cell networks in renal cell carcinoma","year":2023,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Mass cytometry; Immune system; Immunotherapy; Cell; Renal cell carcinoma; Clear cell renal cell carcinoma; Tumor microenvironment; Antibody; Computational biology; Medicine; Cancer research; Biology; Immunology; Oncology; Phenotype; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005237774,0.0001777484,0.0003420418,0.001007127,0.0003775423,0.0007081156,0.0003375042,0.0004252517,0.001438138],"category_scores_gemma":[0.0007239276,0.0001624299,0.0003094539,0.0006950519,0.0002380425,0.0002735388,0.0004049454,0.00039074,0.0004616202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007620081,"about_ca_system_score_gemma":0.0004574136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004026676,"about_ca_topic_score_gemma":0.004362386,"domain_scores_codex":[0.999706,0.00004608914,0.00001228817,0.000107299,0.00009360054,0.00003482681],"domain_scores_gemma":[0.999644,0.00008449446,0.00007855713,0.00003557364,0.0001111549,0.00004616374],"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":[0.000446761,0.0001042818,0.1217205,0.0002151398,0.0001219488,0.0002596963,0.000307673,0.009255987,0.8350875,0.0009143715,0.001498325,0.03006775],"study_design_scores_gemma":[0.00004153589,0.0003594206,0.5980223,0.00003881935,0.0001399144,0.001010527,0.0008809589,0.1228008,0.2653694,0.002669124,0.008606524,0.00006055356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757879,0.0008684247,0.01999427,0.0002322612,0.00002492259,0.00004536273,0.001262541,0.0003335268,0.001450613],"genre_scores_gemma":[0.9869559,0.0002011969,0.01089567,0.0000865149,0.00002222308,0.00004617438,0.0008934226,0.00003555925,0.00086329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004026676,"threshold_uncertainty_score":0.008006513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536638014437473,"score_gpt":0.3139700469654124,"score_spread":0.2686036668210377,"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."}}