{"id":"W2553228633","doi":"10.1182/blood.v126.23.3908.3908","title":"Mass Cytometry Based Classification of Inter- and Intra-Tumoral Heterogeneity in Diffuse Large B-Cell Lymphoma","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Lymph node; Biology; Mass cytometry; Lymphoma; Population; Somatic evolution in cancer; Diffuse large B-cell lymphoma; Hematopathology; Mantle cell lymphoma; Cancer research; Pathology; Cancer; Immunology; Phenotype; Genetics; Medicine; Gene; Cytogenetics; Chromosome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342965,0.0002137546,0.0001514434,0.002430055,0.0001530395,0.0005195519,0.0002643669,0.0005063491,0.0008778818],"category_scores_gemma":[0.0006702055,0.00008944388,0.00009639878,0.0004516446,0.0002777244,0.00026193,0.0002720327,0.0002394735,0.0002299994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003664225,"about_ca_system_score_gemma":0.00007965379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006844632,"about_ca_topic_score_gemma":0.0006916902,"domain_scores_codex":[0.9998292,0.00002439977,0.00001535627,0.00005445544,0.00004808435,0.0000285148],"domain_scores_gemma":[0.9996874,0.0001027552,0.00007393739,0.00002331272,0.00007372644,0.00003885696],"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":[0.0004197251,0.00005593848,0.2381358,0.00006494623,0.00003213766,0.0002253723,0.0001873997,0.0004517965,0.7445017,0.0001368358,0.0001506941,0.01563784],"study_design_scores_gemma":[0.000033552,0.0004050525,0.729989,0.00002490217,0.00009549347,0.003001892,0.0004783783,0.0170738,0.2466582,0.0004002592,0.001818453,0.00002097397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962619,0.0004883895,0.002530264,0.00002420583,0.000003945916,0.00002576988,0.0001263825,0.00006086199,0.0004782439],"genre_scores_gemma":[0.9966518,0.0001242964,0.002815671,0.00001952798,0.000006297139,0.00001980222,0.0002294327,0.000005136675,0.000128103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002430055,"threshold_uncertainty_score":0.00293684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554412086230259,"score_gpt":0.2457016400070144,"score_spread":0.2301575191447118,"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."}}