{"id":"W2117327517","doi":"10.1158/1078-0432.ccr-07-1720","title":"Predicting Outcome in Follicular Lymphoma by Using Interactive Gene Pairs","year":2008,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Follicular lymphoma; Lymphoma; International Prognostic Index; Oncology; Medicine; Gene expression profiling; Follicular phase; Internal medicine; Gene; Bioinformatics; Gene expression; Biology; Diffuse large B-cell lymphoma; Genetics","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":[0.0008241267,0.0007798349,0.0006286831,0.001411932,0.0004046039,0.0005242442,0.0004989852,0.0003359751,0.0008494853],"category_scores_gemma":[0.002684941,0.0001713239,0.0005028084,0.001204316,0.000507003,0.0003271592,0.000465684,0.0004058383,0.0002504352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005810277,"about_ca_system_score_gemma":0.0004762568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120822,"about_ca_topic_score_gemma":0.002411625,"domain_scores_codex":[0.9994279,0.00017844,0.00002470312,0.0001541271,0.0001415223,0.00007340447],"domain_scores_gemma":[0.9987286,0.0008675671,0.0001826618,0.00004974788,0.00009136154,0.0000801667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003086779,0.000588696,0.6731185,0.0003820272,0.0005871491,0.0006839803,0.0001853041,0.1271496,0.07962392,0.00107405,0.001297077,0.1122228],"study_design_scores_gemma":[0.0001561864,0.001258145,0.2907843,0.00003492294,0.0005693833,0.0008852988,0.0001723088,0.6578867,0.03926747,0.007483631,0.001409074,0.00009248484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98062,0.0003267383,0.01740638,0.0001023416,0.000009746663,0.00003964364,0.0005872452,0.0002106871,0.0006973582],"genre_scores_gemma":[0.9911684,0.00005990038,0.007597025,0.00002730002,0.00001120769,0.000039236,0.0009650528,0.0000105128,0.0001213661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120822,"threshold_uncertainty_score":0.004358411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3324872493807791,"score_gpt":0.5375851220581682,"score_spread":0.2050978726773891,"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."}}