{"id":"W3036228871","doi":"10.4155/bio-2020-0106","title":"Mass Spectrometry Analysis of Urinary Methylmalonic Acid to Screen for Metabolic Vitamin B <sub>12</sub> Deficiency in Older Adults","year":2020,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Université de Montréal; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Methylmalonic acid; Creatinine; Urine; Urinary system; Chemistry; Vitamin B12; Chromatography; Vitamin b; Vitamin; Internal medicine; Biochemistry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008013174,0.001122743,0.0004795545,0.002771734,0.0003264722,0.0005101308,0.0005492789,0.001046421,0.006113743],"category_scores_gemma":[0.00124307,0.0002705338,0.0005782879,0.001017241,0.0002143305,0.0002522918,0.0004925081,0.0006151877,0.001280649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273888,"about_ca_system_score_gemma":0.0005077868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554675,"about_ca_topic_score_gemma":0.003279264,"domain_scores_codex":[0.9994393,0.0001061427,0.0000272691,0.0001512945,0.0002305163,0.00004542387],"domain_scores_gemma":[0.9995394,0.00010401,0.0001587873,0.00003041221,0.0001299827,0.00003740159],"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":[0.003477766,0.0006337836,0.1093893,0.003828945,0.002332214,0.001095723,0.0002365908,0.002450437,0.5615355,0.001794891,0.0168809,0.2963439],"study_design_scores_gemma":[0.0003507906,0.004357016,0.290053,0.0008812472,0.002364783,0.006686922,0.0003445144,0.03516386,0.5838417,0.002890926,0.07274874,0.0003164763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952281,0.07194853,0.07141217,0.003258805,0.001302423,0.0009743025,0.03526286,0.004019123,0.0165937],"genre_scores_gemma":[0.9290252,0.01003959,0.04488057,0.001550771,0.0003387606,0.0003048318,0.003857695,0.00009406441,0.009908453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006113743,"threshold_uncertainty_score":0.0204525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211971826303939,"score_gpt":0.2946339086955276,"score_spread":0.2734367260651337,"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."}}