{"id":"W2268781386","doi":"10.1182/blood.v122.21.4301.4301","title":"Predicting Cell Of Origin In Diffuse Large B-Cell Lymphoma By High Dimensional Flow Cytometry","year":2013,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Lymphoma; Diffuse large B-cell lymphoma; Flow cytometry; Immunohistochemistry; Germinal center; Lymph node; Pathology; CD19; Immunophenotyping; B cell; Staining; Biology; Antibody; Medicine; Cancer research; Immunology","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":[0.0005062883,0.000228734,0.0002352172,0.001146805,0.0002587304,0.0008709067,0.0003542943,0.0005881002,0.000831049],"category_scores_gemma":[0.000495247,0.0001042889,0.0001715506,0.0005288866,0.0002940771,0.000367452,0.0003929819,0.0004627396,0.0003779431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671871,"about_ca_system_score_gemma":0.0002478326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008889185,"about_ca_topic_score_gemma":0.001044605,"domain_scores_codex":[0.9997489,0.00004105297,0.0000236874,0.00007131029,0.0000852328,0.00002983251],"domain_scores_gemma":[0.999779,0.00006928437,0.00005364307,0.0000196445,0.00005072037,0.00002765422],"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":[0.0002024487,0.0001206529,0.02873133,0.00008846169,0.00001492097,0.0000641075,0.0001465813,0.001669388,0.9470556,0.0007393161,0.0004169187,0.02075028],"study_design_scores_gemma":[0.00005528834,0.0003759259,0.09625895,0.00004216296,0.00005874887,0.0008482532,0.0003582768,0.04955729,0.8401421,0.001877578,0.01034631,0.00007912925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918788,0.001734269,0.07483944,0.0003295223,0.00004798307,0.0002865379,0.001557552,0.0005912742,0.001825366],"genre_scores_gemma":[0.9213729,0.0009341126,0.07438108,0.0002131026,0.00002735722,0.0003157098,0.001770442,0.00003084611,0.0009544838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001146805,"threshold_uncertainty_score":0.003389657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005598824189835827,"score_gpt":0.2128075641963486,"score_spread":0.2072087400065128,"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."}}