{"id":"W2896637894","doi":"10.1080/17474086.2018.1537778","title":"Optimal frontline management of mantle cell lymphoma: can we agree?","year":2018,"lang":"en","type":"editorial","venue":"Expert Review of Hematology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Mantle cell lymphoma; Mantle (geology); Intensive care medicine; Lymphoma; Oncology; Cancer research; Internal medicine; Geochemistry; Geology","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":[0.005643701,0.001598014,0.003267095,0.001591996,0.001136174,0.00367885,0.002409441,0.009496961,0.004632464],"category_scores_gemma":[0.01878702,0.0005639505,0.00160286,0.000807057,0.001532599,0.004367681,0.0008849853,0.01828546,0.003338454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958522,"about_ca_system_score_gemma":0.002575401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008944916,"about_ca_topic_score_gemma":0.00257373,"domain_scores_codex":[0.9973459,0.0006386066,0.0006079341,0.0002773503,0.0009439182,0.0001863413],"domain_scores_gemma":[0.9855746,0.007131393,0.0009618158,0.0002621822,0.004908096,0.001161939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008188978,0.00002572643,0.00007130847,0.0009943997,0.00005107786,0.0001651728,0.00001735142,0.00004929365,0.00009389022,0.0006830164,0.9585818,0.03918508],"study_design_scores_gemma":[0.0001823981,0.00006788682,0.0003923819,0.002355798,0.0001788291,0.0008380102,0.00005911776,0.000168008,0.0001440185,0.001917357,0.9936621,0.00003407768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001148482,0.08177851,0.0003897269,0.1189892,0.7967255,0.00002520081,0.00006151299,0.00006560963,0.001849867],"genre_scores_gemma":[0.001024902,0.05230647,0.0003974367,0.06143566,0.8816094,0.00002473391,0.00005001814,0.00002474378,0.00312665],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.009496961,"threshold_uncertainty_score":0.02984709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045945692812617,"score_gpt":0.309963364561013,"score_spread":0.2995039076328869,"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."}}