{"id":"W4410776881","doi":"10.1002/hem3.70145","title":"Characterization of cancer‐associated fibroblasts and their spatial architecture reveals heterogeneity and survival associations in classic Hodgkin lymphoma","year":2025,"lang":"en","type":"article","venue":"HemaSphere","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Spinal Cord Injury BC; University Health Network","funders":"Academy of Finland; Helsingin ja Uudenmaan Sairaanhoitopiiri; Helsingin Yliopisto","keywords":"Tumor microenvironment; Stromal cell; Cancer-Associated Fibroblasts; Cancer research; Immune system; Lymphoma; Biology; Cancer; Population; Pathology; Fibroblast activation protein, alpha; Fibroblast; Nodular sclerosis; Immunology; Medicine; Internal medicine; Cell culture; Hodgkin lymphoma; 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":[0.0001070403,0.0001263767,0.00021222,0.00002858558,0.00004952272,0.00001465938,0.00005817404,0.0001839583,0.000003858623],"category_scores_gemma":[0.00005616104,0.0001182734,0.00004074906,0.000110933,0.00005666957,0.000003571286,0.00004373595,0.00005424691,7.934603e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002591616,"about_ca_system_score_gemma":0.000065126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004501691,"about_ca_topic_score_gemma":0.01172868,"domain_scores_codex":[0.9992694,0.00009986725,0.0002069686,0.0002274118,0.00005361819,0.0001426804],"domain_scores_gemma":[0.9996823,0.00002538558,0.0001018126,0.0001095944,0.00004923657,0.00003167882],"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":[0.00004745829,0.0000573175,0.2025476,0.00004294712,0.00005182571,3.310318e-7,0.0000828897,0.00001577147,0.7883561,0.00001763455,0.00001040997,0.008769802],"study_design_scores_gemma":[0.0009345268,0.00006806492,0.6638783,0.00009523157,0.00001543533,6.848983e-7,0.0000240908,0.0002195629,0.3342726,0.0001148778,0.0002580954,0.0001184978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974786,0.0004994872,0.001317436,0.0001317092,0.0001048014,0.0001511218,0.0001854585,0.000007890309,0.0001234669],"genre_scores_gemma":[0.9992055,0.0002568928,0.00005968087,0.00007655376,0.0000412574,0.00001281633,0.0001915303,0.00001106971,0.000144722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4613307,"threshold_uncertainty_score":0.6544876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009133015429994338,"score_gpt":0.2374523188488286,"score_spread":0.2283193034188342,"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."}}