{"id":"W3213976824","doi":"10.1002/jbm4.10581","title":"Diagnostic Aspects of Vitamin D: Clinical Utility of Vitamin D Metabolite Profiling","year":2021,"lang":"en","type":"review","venue":"JBMR Plus","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Metabolome; Vitamin D and neurology; Metabolite; Metabolomics; Tandem mass spectrometry; Vitamin; Liquid chromatography–mass spectrometry; Chemistry; Vitamin D-binding protein; vitamin D deficiency; Mass spectrometry; Tandem; Chromatography; Biochemistry; Computational biology; Biology; Endocrinology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002879384,0.0006709413,0.008057853,0.0004073512,0.00006542781,0.00001505052,0.0004676235,0.0006678244,0.0001786144],"category_scores_gemma":[0.03149123,0.0004944669,0.002026316,0.00108533,0.000793417,0.00006511958,0.0008182043,0.00152589,0.0000532595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754642,"about_ca_system_score_gemma":0.002826375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004123316,"about_ca_topic_score_gemma":0.00001196263,"domain_scores_codex":[0.9930131,0.001158839,0.002826828,0.001012588,0.001283975,0.000704644],"domain_scores_gemma":[0.9881052,0.008010178,0.001086372,0.001593593,0.0008461812,0.0003584516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003376122,0.001052282,0.001865709,0.1412817,0.00293247,0.0008265118,0.0001137085,1.986502e-7,0.000009981476,0.0008045407,0.00183484,0.8492442],"study_design_scores_gemma":[0.003960456,0.001124175,0.0189964,0.09784918,0.01408281,0.000251483,0.0004102406,0.00005421369,0.0004882812,0.00008648797,0.8616478,0.001048438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000552688,0.9902726,0.0000336111,0.00005820787,0.0006283738,0.002584305,0.0003640476,0.00004908336,0.005457056],"genre_scores_gemma":[0.004450375,0.992209,0.001145093,0.00002116066,0.0005694684,0.0002448536,0.0003300392,0.00009423908,0.0009357809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.859813,"threshold_uncertainty_score":0.9997507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243559731068346,"score_gpt":0.4568044151338939,"score_spread":0.3324484420270594,"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."}}