{"id":"W2593116899","doi":"10.1182/blood.v112.11.2824.2824","title":"Assessment of Microrna Expression in Mantle Cell Lymphoma Using High Throughput Techniques","year":2008,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Mantle cell lymphoma; microRNA; Follicular lymphoma; Blastoid; Lymphoma; Biology; Cancer research; Population; Gene expression; Gene expression profiling; Pathology; Gene; Medicine; Immunology; 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":[0.0005370173,0.000252275,0.0002520447,0.0008303572,0.0002942485,0.0006857128,0.0002174409,0.0003546295,0.0006536461],"category_scores_gemma":[0.0006999567,0.0002510915,0.0002423604,0.0005140718,0.0001852927,0.0002075769,0.0002947126,0.0003633901,0.0003507677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099436,"about_ca_system_score_gemma":0.0001684665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003192925,"about_ca_topic_score_gemma":0.0007063673,"domain_scores_codex":[0.9994738,0.0001264569,0.00004216149,0.0001304052,0.0001760717,0.00005116157],"domain_scores_gemma":[0.9997296,0.0001355309,0.00003984271,0.00002748669,0.00005326904,0.00001432845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001583934,0.00006250003,0.005588207,0.00008524667,0.00003512179,0.00004875131,0.00005265907,0.0002146273,0.9880229,0.00005415477,0.0001142272,0.005563191],"study_design_scores_gemma":[0.00004560432,0.0007224435,0.1353576,0.00003475832,0.0001731355,0.0007866847,0.0002092831,0.01119979,0.8443943,0.0002622804,0.00677462,0.00003954151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562173,0.003930917,0.03438317,0.000125101,0.00004303051,0.0002820063,0.002883615,0.0003685134,0.00176644],"genre_scores_gemma":[0.9338478,0.001734591,0.05540316,0.0002990964,0.0000581745,0.0005774486,0.00582436,0.00006563925,0.002189759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008303572,"threshold_uncertainty_score":0.002840102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083462641935975,"score_gpt":0.2857635119999962,"score_spread":0.2649288855806365,"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."}}