{"id":"W4296793714","doi":"10.1007/978-1-0716-2565-1_5","title":"Quantitation of Aldosterone in Serum or Plasma Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Aldosterone; Chromatography; Chemistry; Liquid chromatography–mass spectrometry; Primary aldosteronism; Mass spectrometry; Tandem mass spectrometry; Calibration curve; Detection limit; Internal medicine; Medicine","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":[0.001911818,0.001745623,0.0009796303,0.003076012,0.001278183,0.001452071,0.0008783842,0.001585317,0.002666211],"category_scores_gemma":[0.002647772,0.0004119581,0.0007267788,0.001543583,0.001104111,0.001155814,0.0007063673,0.001480718,0.001743565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961622,"about_ca_system_score_gemma":0.001894708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860445,"about_ca_topic_score_gemma":0.003300033,"domain_scores_codex":[0.9977121,0.0003331125,0.0002144121,0.0006981089,0.0008651246,0.0001770982],"domain_scores_gemma":[0.9988286,0.0003484379,0.0001909413,0.00012676,0.0003511255,0.0001541414],"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":[0.001036414,0.0003341321,0.01556859,0.0005591229,0.0002703131,0.0003824623,0.0001701388,0.0001594748,0.9429687,0.0008744339,0.00243028,0.03524581],"study_design_scores_gemma":[0.0001814902,0.001157355,0.03270425,0.0001561352,0.0003574973,0.002510203,0.0001834164,0.005589256,0.9389614,0.002641223,0.01542565,0.0001321516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5030322,0.03790975,0.3922623,0.00306383,0.003982908,0.002032628,0.02110906,0.01103964,0.02556771],"genre_scores_gemma":[0.6814084,0.0144057,0.2634186,0.01143169,0.001424758,0.003041973,0.008781024,0.0008042523,0.01528355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003076012,"threshold_uncertainty_score":0.0101108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05681825064037353,"score_gpt":0.4037937264725604,"score_spread":0.3469754758321869,"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."}}