{"id":"W4399325131","doi":"10.1200/jco.2024.42.16_suppl.2567","title":"Proteogenomic profiling of clonal hematopoiesis in the solid tumor microenvironment.","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Solid tumor; Tumor microenvironment; Profiling (computer programming); Cancer research; Haematopoiesis; Computational biology; Pathology; Tumor cells; Cancer; Biology; Stem cell; Internal medicine; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002769877,0.0002335472,0.0001865627,0.0009838542,0.000176454,0.0003320675,0.0001301682,0.0001851156,0.0006259072],"category_scores_gemma":[0.0003691271,0.00009500988,0.0001955891,0.0006125137,0.000140739,0.0001107154,0.0002963869,0.0001579159,0.0001813118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511218,"about_ca_system_score_gemma":0.0001143995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004979453,"about_ca_topic_score_gemma":0.0007625584,"domain_scores_codex":[0.9998782,0.00002195779,0.000008155899,0.00003933198,0.00003134575,0.00002112522],"domain_scores_gemma":[0.9998504,0.00003025949,0.00006028071,0.00001131007,0.00002320138,0.00002441358],"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":[0.0006469275,0.00008280372,0.2898172,0.0001896808,0.0002480001,0.0004144504,0.0001250423,0.0008583342,0.6838932,0.0001547618,0.0005486226,0.02302095],"study_design_scores_gemma":[0.00002563782,0.0003608783,0.8899969,0.00001704306,0.0001587976,0.002771838,0.0001379805,0.007343401,0.09650632,0.0003381281,0.00232639,0.00001665188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958358,0.000790868,0.001489444,0.00003600938,0.000004199514,0.00001922934,0.00144415,0.00003971063,0.0003406071],"genre_scores_gemma":[0.995529,0.0002298718,0.002094033,0.00003525727,0.000005726572,0.00001614439,0.001848351,0.00001226956,0.0002294345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009838542,"threshold_uncertainty_score":0.002093852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06547520236209697,"score_gpt":0.43998390383999,"score_spread":0.3745087014778931,"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."}}