{"id":"W2993371734","doi":"10.1182/blood.v110.11.2610.2610","title":"Developing a Multidimensional Prognostic Test for Follicular Lymphoma.","year":2007,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Follicular lymphoma; Gene expression profiling; Lymphoma; Significance analysis of microarrays; Carcinogenesis; Oncology; Microarray; DNA microarray; Survival analysis; Microarray analysis techniques; Clinical significance; Gene; Internal medicine; Gene expression; Gene signature; Medicine; Tissue microarray; Biology; Immunohistochemistry; Cancer; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002582005,0.0004936528,0.0004297174,0.001827515,0.0002591817,0.0007866795,0.0005242729,0.000593071,0.002500513],"category_scores_gemma":[0.008399142,0.0001381621,0.0005185473,0.0009217379,0.0002838793,0.0005424915,0.0005859975,0.0005731089,0.0007310629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890964,"about_ca_system_score_gemma":0.0004751044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007174162,"about_ca_topic_score_gemma":0.0005679969,"domain_scores_codex":[0.999041,0.0004272574,0.00009259791,0.0001615432,0.0002038329,0.00007359499],"domain_scores_gemma":[0.9969754,0.001873661,0.0004805077,0.0001250553,0.000372972,0.0001724512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001457957,0.0002468741,0.88947,0.00009400858,0.0002217613,0.0001377635,0.00006081853,0.005045283,0.008201874,0.0003223765,0.00209444,0.09264676],"study_design_scores_gemma":[0.0002486076,0.002475857,0.74166,0.00007694719,0.0002971712,0.001283939,0.0003005734,0.2340245,0.01240658,0.003221684,0.003928081,0.00007599439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425518,0.000706347,0.04897828,0.0009338374,0.00008219654,0.0003543145,0.003633202,0.0005978857,0.002162174],"genre_scores_gemma":[0.97736,0.00004846788,0.02046253,0.00008064799,0.00003503865,0.0001957394,0.001606805,0.00001028265,0.0002005848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582005,"threshold_uncertainty_score":0.01365507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119330908128852,"score_gpt":0.2797847300895112,"score_spread":0.2585914210082227,"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."}}