{"id":"W4389227671","doi":"10.1158/2326-6074.tumimm23-b046","title":"Abstract B046: Analyzing heterogeneity of tumor microenvironment of TNBC patients by meta-analysis of 7 breast cancer scRNAseq studies","year":2023,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tumor microenvironment; Stromal cell; Breast cancer; Triple-negative breast cancer; Cancer research; Immunotherapy; Immune system; CD8; Medicine; Estrogen receptor; Immune checkpoint; Cancer; T cell; Oncology; Biology; Internal medicine; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001254915,0.0002178212,0.001706908,0.0009930378,0.00009897377,0.000004649442,0.0003224,0.0001103332,0.001229515],"category_scores_gemma":[0.0000676467,0.0001683465,0.0009275506,0.002387477,0.001409501,0.000062534,0.0002172486,0.0003254508,0.000005433012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840575,"about_ca_system_score_gemma":0.0002250432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004400393,"about_ca_topic_score_gemma":0.0004530456,"domain_scores_codex":[0.9971792,0.0002525437,0.0008888635,0.0004505462,0.0006977745,0.0005310486],"domain_scores_gemma":[0.9978295,0.0002795829,0.0004580429,0.0006631135,0.0007050717,0.00006470738],"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":[0.002421245,0.0003658876,0.1848705,0.0003572513,0.2483627,0.000008117559,0.0003840057,0.00006430766,0.5574535,0.000001350272,0.002226303,0.003484849],"study_design_scores_gemma":[0.001470445,0.000282198,0.7544804,0.00008295596,0.01923529,0.000001393883,0.0005392255,0.00001216602,0.2232875,0.00000383416,0.0004862796,0.0001183476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968437,0.1001381,9.61672e-7,0.0008481574,0.00009331854,0.0003944296,0.001647285,0.0000119579,0.00002207756],"genre_scores_gemma":[0.9724951,0.02681077,0.00001371558,0.00005601333,0.00001669891,0.0002134823,0.00008897567,0.00002506842,0.0002802148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5696099,"threshold_uncertainty_score":0.9996835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678416458687909,"score_gpt":0.4370584195713366,"score_spread":0.2692167737025457,"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."}}