{"id":"W2416012929","doi":"10.1007/978-1-4939-3182-8_5","title":"Quantitation of Aldosterone in Serum or Plasma Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)","year":2015,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital; University of British Columbia Hospital","funders":"","keywords":"Chromatography; Liquid chromatography–mass spectrometry; Chemistry; Tandem mass spectrometry; Aldosterone; Mass spectrometry; Medicine; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413072,0.0001462186,0.0005411574,0.0007518973,0.00001338244,0.000003873344,0.00007854439,0.0002551463,0.00003883948],"category_scores_gemma":[0.0007421731,0.0001189658,0.00007907748,0.0008425942,0.0001083961,0.00003356728,0.00004297794,0.0001814891,0.000002840728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008858969,"about_ca_system_score_gemma":0.0001349113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009033882,"about_ca_topic_score_gemma":0.00004896832,"domain_scores_codex":[0.9981099,0.000745357,0.0004690553,0.0002769399,0.0001501575,0.000248567],"domain_scores_gemma":[0.9992918,0.0001425255,0.0001335314,0.0002255832,0.0001100787,0.00009645026],"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":[0.0006813771,0.00008322442,0.01835212,0.00002681758,0.00003661214,0.0001214976,0.0001084878,0.00007472363,0.9771984,0.001148283,0.000005226109,0.00216324],"study_design_scores_gemma":[0.007144874,0.003824694,0.04698087,0.0002928738,0.0001245779,0.0004115638,0.0004509148,0.02652007,0.9082427,0.004185681,0.001425121,0.000396031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6800338,0.0005396481,0.318538,0.0003218045,0.0001065629,0.0001891717,0.000001873167,0.00001384619,0.0002553119],"genre_scores_gemma":[0.4476711,0.00002856611,0.5520953,0.0001454954,0.00001774528,0.000003662418,0.00001068635,0.00001405799,0.00001341902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2335574,"threshold_uncertainty_score":0.4851283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156784679326133,"score_gpt":0.4246666391589328,"score_spread":0.3330987923656715,"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."}}