{"id":"W2400940566","doi":"10.1182/blood-2015-09-672352","title":"Diffuse large B-cell lymphoma patient-derived xenograft models capture the molecular and biological heterogeneity of the disease","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Lymphoma; Computational biology; Disease; Genetic heterogeneity; Drug discovery; Diffuse large B-cell lymphoma; Cancer research; Biology; Medicine; Bioinformatics; Immunology; Genetics; Pathology; Gene; Phenotype","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":[0.0003507085,0.0004657364,0.0003281454,0.0004701456,0.0002010408,0.0004518345,0.0002215161,0.0003692387,0.002368462],"category_scores_gemma":[0.0001856379,0.0001661219,0.0002646491,0.0002603599,0.0001698514,0.0002908888,0.0002572869,0.001009334,0.0006375001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021193,"about_ca_system_score_gemma":0.0001676718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000539699,"about_ca_topic_score_gemma":0.001094822,"domain_scores_codex":[0.9997756,0.00005081064,0.000018701,0.00005267341,0.00007219031,0.00002999601],"domain_scores_gemma":[0.9998349,0.00003329423,0.00003004076,0.00003751812,0.00002268673,0.00004162997],"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":[0.0005837273,0.0005589802,0.007529771,0.00008454032,0.00006606487,0.0002138747,0.00007807457,0.0008837716,0.9835268,0.0004426965,0.0006802516,0.005351487],"study_design_scores_gemma":[0.0003942137,0.008489347,0.06323995,0.00005145944,0.0002709691,0.006959677,0.0004067814,0.0137671,0.8825458,0.0008126837,0.023025,0.00003694503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858358,0.0006645331,0.008609389,0.0001061644,0.00003395833,0.0001997624,0.002725881,0.0001548758,0.001669606],"genre_scores_gemma":[0.9853325,0.0006164497,0.005968295,0.0001096431,0.000009019814,0.0002739335,0.005619387,0.00004803848,0.002022704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002368462,"threshold_uncertainty_score":0.007923245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230967202451227,"score_gpt":0.2122343514957315,"score_spread":0.1999246794712193,"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."}}