{"id":"W1984221496","doi":"10.1016/j.exphem.2014.07.090","title":"Identification of TET2 loss-of-function phenotype by LC-ESI-MS/MS-MRM in the normal aging population","year":2014,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Phenotype; Biology; Population; Myeloid; Myeloid leukemia; Myelodysplastic syndromes; Genetics; Allele; Loss function; Gene; Internal medicine; Cancer research; Molecular biology; Immunology; Medicine; Bone marrow","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004994437,0.000111811,0.0002955381,0.0001579632,0.00005023847,0.000006319902,0.0001473359,0.0001129384,0.0001706117],"category_scores_gemma":[0.00009143157,0.00008977109,0.00005442247,0.0002410963,0.0001402153,0.0001130173,0.00004981105,0.0001794767,0.00003438982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372373,"about_ca_system_score_gemma":0.00003151447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004158063,"about_ca_topic_score_gemma":0.00001450651,"domain_scores_codex":[0.998595,0.0001815121,0.0004983445,0.0002167594,0.0002964843,0.0002118777],"domain_scores_gemma":[0.999262,0.0001237224,0.0001947579,0.0003261736,0.00005517075,0.00003820344],"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":[0.000696075,0.0007650289,0.1381694,0.0002601724,0.00005557713,0.00001151251,0.002679513,0.00001536871,0.8137593,0.03919216,0.002189483,0.002206444],"study_design_scores_gemma":[0.00192032,0.0004240522,0.04699244,0.00005650097,0.00002749603,0.0001234503,0.001256786,0.001965272,0.9461583,0.0003608936,0.0005998263,0.0001146833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953558,0.001130442,0.00104304,0.0004592602,0.0001719089,0.0003874696,0.000003770423,0.00002006627,0.001428183],"genre_scores_gemma":[0.9993713,0.000009188464,0.0001442855,0.0001163349,0.00005936354,0.00004203967,0.0001408352,0.00001634373,0.0001003293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132399,"threshold_uncertainty_score":0.3660758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489183350695922,"score_gpt":0.3216884720177247,"score_spread":0.3067966385107655,"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."}}