{"id":"W2589917306","doi":"10.1182/blood.v104.11.1131.1131","title":"Microrna Expression Profiling in Acute Myelogenous Leukemia.","year":2004,"lang":"en","type":"article","venue":"Blood","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Biology; microRNA; Gene expression profiling; Haematopoiesis; Leukemia; Gene; Gene expression; Stem cell; Bone marrow; Cellular differentiation; Cancer research; Cell biology; Genetics; Immunology","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":[0.0002080459,0.0002714725,0.0003641156,0.000733149,0.0002225661,0.0003830996,0.000121828,0.0003200208,0.0009433469],"category_scores_gemma":[0.0002809892,0.0001974104,0.0002512347,0.0007323003,0.0001458722,0.0001407987,0.0001588315,0.0003329529,0.000573369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576374,"about_ca_system_score_gemma":0.0001745011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003281719,"about_ca_topic_score_gemma":0.0005956281,"domain_scores_codex":[0.9996959,0.0000304186,0.00002699301,0.0001120781,0.0001021416,0.00003240718],"domain_scores_gemma":[0.9999036,0.00002184539,0.00002725733,0.000006153576,0.00003059402,0.00001054146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001371781,0.00001564021,0.001510279,0.00009158374,0.000008813206,0.000040131,0.00003494971,0.00006210752,0.9941921,0.00005783881,0.00007077954,0.003778738],"study_design_scores_gemma":[0.00002304074,0.000523896,0.08055005,0.00003597371,0.0001105023,0.001013793,0.0001305601,0.002231964,0.8973155,0.0001729132,0.01786819,0.00002364969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536519,0.01287357,0.01574796,0.0001501872,0.0001375615,0.0002965862,0.01114525,0.0003964056,0.005600587],"genre_scores_gemma":[0.9341421,0.005055641,0.04092153,0.0003391537,0.00005692048,0.000515546,0.01131324,0.0001147509,0.007541174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009433469,"threshold_uncertainty_score":0.003155768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006453700722997933,"score_gpt":0.2276171273815982,"score_spread":0.2211634266586002,"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."}}