{"id":"W4389942753","doi":"10.1200/jco.23.01115","title":"Spatially Resolved Tumor Microenvironment Predicts Treatment Outcomes in Relapsed/Refractory Hodgkin Lymphoma","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Terry Fox Research Institute; Princess Margaret Cancer Centre; Spinal Cord Injury BC; University of British Columbia; University Health Network","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Seagen; BC Cancer Foundation; Genome British Columbia; BeiGene; Regeneron Pharmaceuticals; Genome Canada; Kanae Foundation for the Promotion of Medical Science; National Cancer Institute; Strong; Genentech; AstraZeneca; Pfizer","keywords":"Tumor microenvironment; Medicine; Lymphoma; Oncology; Internal medicine; Cancer research; Pathology; Cancer","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":[0.0002577505,0.0001883059,0.0002030743,0.0004480988,0.0001130121,0.0003478104,0.0001061492,0.000170284,0.0004606092],"category_scores_gemma":[0.0007480063,0.00008957686,0.0001564693,0.0002041973,0.0002207332,0.00016035,0.0002883507,0.0001627586,0.00009936948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298674,"about_ca_system_score_gemma":0.0001153856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008615715,"about_ca_topic_score_gemma":0.0009454952,"domain_scores_codex":[0.999896,0.00003198316,0.000008721109,0.00002541821,0.00002131548,0.0000165407],"domain_scores_gemma":[0.9996704,0.00007227212,0.0001619431,0.00002684522,0.00002774071,0.0000408401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000454117,0.00004032751,0.9622836,0.00002292447,0.00006007968,0.0001070434,0.00004888656,0.003475068,0.01853467,0.00004452395,0.0001081037,0.0148207],"study_design_scores_gemma":[0.00001383758,0.0002315992,0.975799,0.000006915297,0.00005912099,0.0005718332,0.0001779372,0.01700446,0.005625916,0.0001968853,0.0003042337,0.000008352225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989505,0.0002119777,0.0006117346,0.00001729236,0.000001286945,0.000005474508,0.00005730223,0.00001716446,0.0001273538],"genre_scores_gemma":[0.9996166,0.00002825302,0.0002613794,0.000006739446,0.000002599832,0.000003244492,0.00005319494,0.000001162524,0.00002672357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008615715,"threshold_uncertainty_score":0.001713157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0919978999920369,"score_gpt":0.4107195557820578,"score_spread":0.3187216557900209,"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."}}