{"id":"W4408740105","doi":"10.1016/j.microc.2025.113407","title":"Dual pH-optimized HPTLC method for simultaneous quantification and enhanced fluorescence detection of triamterene and losartan in human plasma: Toward achieving maximum separate fluorescence intensity","year":2025,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fluorescence; Triamterene; Chemistry; Losartan; Chromatography; Human plasma; Analytical Chemistry (journal); Optics; Angiotensin II; Hydrochlorothiazide","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":[0.0008145866,0.000725465,0.0005907783,0.0005842884,0.000400072,0.0004742542,0.0006364626,0.001300685,0.001189184],"category_scores_gemma":[0.0006737717,0.0005510455,0.0004063209,0.0002745596,0.0004113923,0.0004654932,0.0004623783,0.001315903,0.0007667047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188644,"about_ca_system_score_gemma":0.001284632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422559,"about_ca_topic_score_gemma":0.003951492,"domain_scores_codex":[0.9989479,0.0001575788,0.00006282943,0.0002795045,0.0004510636,0.0001010605],"domain_scores_gemma":[0.9997248,0.0000554496,0.00004218471,0.00001852747,0.0001246026,0.00003438127],"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":[0.0001811206,0.00004949296,0.0001781333,0.00007825986,0.00001860773,0.00004504375,0.00001669312,0.0001785514,0.9947469,0.0001079357,0.0001493708,0.004249848],"study_design_scores_gemma":[0.00004250397,0.0001592787,0.001198994,0.000006636126,0.00003929258,0.0003952347,0.00001159786,0.005174586,0.9911239,0.0000647131,0.001751018,0.00003222769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6397285,0.007538404,0.3439915,0.0008541474,0.0003859191,0.0006089415,0.001272477,0.002053381,0.003566744],"genre_scores_gemma":[0.731696,0.002947212,0.2533635,0.001012646,0.0001340403,0.0006397366,0.00105789,0.000151121,0.008997944],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001422559,"threshold_uncertainty_score":0.005215704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550463646959021,"score_gpt":0.2890763371076682,"score_spread":0.273571700638078,"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."}}