{"id":"W2623105223","doi":"10.1002/hon.2437_46","title":"MOLECULAR CLASSIFICATION OF PRIMARY MEDIASTINAL LARGE B CELL LYMPHOMA USING FORMALIN‐FIXED, PARAFFIN‐EMBEDDED TISSUE SPECIMENS – AN LLMPP PROJECT","year":2017,"lang":"en","type":"article","venue":"Hematological Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; BC Cancer Agency","funders":"","keywords":"Lymphoma; Gene expression profiling; Medicine; Diffuse large B-cell lymphoma; Molecular diagnostics; Tissue microarray; Cancer research; Pathology; Computational biology; Gene; Gene expression; Immunohistochemistry; Bioinformatics; Biology","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":[0.002185416,0.0002736872,0.0001977608,0.00220424,0.0002889982,0.0005567176,0.0004655398,0.0002638414,0.001564086],"category_scores_gemma":[0.001031522,0.000140203,0.0002247067,0.0009275763,0.000301771,0.0002982452,0.0005099353,0.000251518,0.0006586337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859301,"about_ca_system_score_gemma":0.0004455513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006039758,"about_ca_topic_score_gemma":0.0006484428,"domain_scores_codex":[0.9995281,0.0001033056,0.00008020004,0.0001046224,0.0001474871,0.00003633809],"domain_scores_gemma":[0.9994592,0.0001013432,0.00008263143,0.0001094378,0.0001858131,0.00006142169],"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":[0.0009633263,0.0002671587,0.3225032,0.0006660168,0.0001654656,0.002716972,0.0004090953,0.00108824,0.3810573,0.0007234582,0.005369317,0.2840704],"study_design_scores_gemma":[0.0001303416,0.0009568583,0.8067256,0.0002870138,0.0002926289,0.01975453,0.0005207317,0.008789385,0.1229058,0.001099601,0.03850625,0.00003126161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318143,0.007102145,0.04875356,0.0004271067,0.00007710062,0.0008590937,0.003965684,0.0006931833,0.006307857],"genre_scores_gemma":[0.9159437,0.003128108,0.06713136,0.0001623972,0.00008332335,0.0006829918,0.01048766,0.00009391796,0.002286616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00220424,"threshold_uncertainty_score":0.01155776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364401329832947,"score_gpt":0.3877165753220415,"score_spread":0.294072562023712,"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."}}