{"id":"W2892392661","doi":"10.1182/blood-2018-05-851154","title":"Molecular classification of primary mediastinal large B-cell lymphoma using routinely available tissue specimens","year":2018,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; BC Cancer Agency","funders":"National Cancer Institute","keywords":"Concordance; Lymphoma; Molecular diagnostics; Medicine; Pathology; Diffuse large B-cell lymphoma; Biopsy; Mediastinum; Computational biology; Oncology; Radiology; Bioinformatics; Internal medicine; 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":[0.003358233,0.0003713793,0.0003438832,0.0009005985,0.0001969556,0.0008705367,0.0003456463,0.0003522505,0.0003424482],"category_scores_gemma":[0.004237857,0.0001772613,0.000333045,0.0004818366,0.0003593075,0.0003216015,0.0004084843,0.0003176366,0.0002179996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039723,"about_ca_system_score_gemma":0.0004195967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866481,"about_ca_topic_score_gemma":0.002474137,"domain_scores_codex":[0.9989244,0.0004621416,0.0001169168,0.000210175,0.0002136698,0.00007269283],"domain_scores_gemma":[0.9987915,0.0005759732,0.0002452856,0.0002003141,0.0001464597,0.000040546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006467127,0.00009453426,0.8573462,0.00009603139,0.000151832,0.0002108336,0.0001839339,0.01905185,0.04978284,0.0003620408,0.0003345865,0.07173859],"study_design_scores_gemma":[0.00006175572,0.0007433113,0.6223498,0.00009027111,0.0001785882,0.001329944,0.0003201231,0.3258648,0.04529573,0.00174309,0.001978691,0.00004382169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643035,0.0005160571,0.03410618,0.00005857285,0.00001146226,0.00009387386,0.0003762966,0.00009999313,0.0004341043],"genre_scores_gemma":[0.9867067,0.0001326321,0.01250711,0.00001672525,0.000005669845,0.00003400296,0.000509283,0.000006483132,0.00008153105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003358233,"threshold_uncertainty_score":0.01776022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891716005906984,"score_gpt":0.2649211411833282,"score_spread":0.2360039811242584,"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."}}