{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007626,0.0002271357,0.0002857649,0.0002972627,0.0002102727,0.00004250664,0.0006734348,0.0005303825,0.000148174],"category_scores_gemma":[0.00005670459,0.0002340806,0.0001263411,0.0006676964,0.0003811252,0.000007302428,0.0003034422,0.0009579664,0.00009345791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009812257,"about_ca_system_score_gemma":0.000439965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106434,"about_ca_topic_score_gemma":0.0008213732,"domain_scores_codex":[0.9973466,0.0002667847,0.0004188447,0.0006322569,0.0002529995,0.001082446],"domain_scores_gemma":[0.9988844,0.00008653222,0.00007092515,0.0006538267,0.0002112067,0.00009308992],"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":[0.0006758434,0.0001194309,0.01677594,0.0000417887,0.00002903206,0.00006743541,0.0001294962,0.00147257,0.9746894,0.000007619574,0.002131021,0.003860418],"study_design_scores_gemma":[0.002606178,0.0005022823,0.2195846,0.00004345991,0.000008972427,0.000004282749,0.0001846906,0.0008932612,0.7603067,0.00004973164,0.01542466,0.000391233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825014,0.01239601,0.00009856831,0.0003130232,0.000563758,0.0003316338,0.00002144964,0.00003276551,0.003741398],"genre_scores_gemma":[0.9913197,0.004370333,0.00004342546,0.00006065302,0.0003665697,0.0001536523,0.0002328005,0.00006017703,0.003392751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143827,"threshold_uncertainty_score":0.9545531,"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."}}