{"id":"W2403437089","doi":"10.1007/978-1-59745-390-5_16","title":"Predicting Survival in Follicular Lymphoma Using Tissue Microarrays","year":2007,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Queen's University","funders":"","keywords":"Subgroup analysis; Follicular lymphoma; Medicine; Internal medicine; Oncology; Survival analysis; Stage (stratigraphy); Lymphoma; Meta-analysis; 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":[0.0006770106,0.0006102758,0.001028375,0.001236147,0.00009029701,0.0004857372,0.0006648939,0.0006043291,0.0006530823],"category_scores_gemma":[0.000737959,0.0002191299,0.0002322163,0.001230656,0.0001890048,0.0006166071,0.0002028322,0.0004171746,0.0007341862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674548,"about_ca_system_score_gemma":0.0003525752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007451426,"about_ca_topic_score_gemma":0.0008949473,"domain_scores_codex":[0.9998389,0.00004291363,0.00001800497,0.00003187547,0.00005702867,0.00001130563],"domain_scores_gemma":[0.9998176,0.00008382037,0.00003046718,0.000005936738,0.00005340318,0.000008860758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009869046,0.00003677706,0.001140398,0.003617214,0.00008493795,0.0001866716,0.00002806601,0.000959905,0.003846573,0.0007677025,0.005341171,0.983892],"study_design_scores_gemma":[0.0001392844,0.0009211026,0.02286926,0.005746834,0.0007365434,0.007605619,0.0002477448,0.006760853,0.01697457,0.008849883,0.9290414,0.0001067939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001869855,0.994921,0.001794885,0.0002230759,0.00009666417,0.00001078465,0.00003827875,0.00003825204,0.001007233],"genre_scores_gemma":[0.01141542,0.9841366,0.003156871,0.0001507931,0.0001153454,0.0000298382,0.0001269772,0.000003441009,0.0008647769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001236147,"threshold_uncertainty_score":0.003580391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008995290817393,"score_gpt":0.4901706713675398,"score_spread":0.3892711422858005,"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."}}