{"id":"W2006064251","doi":"10.1002/jccs.201200603","title":"Determination of Diuretics in Urine Using Immobilized Multi‐Walled Carbon Nanotubes in Hollow Fiber Liquid‐Phase Microextraction Combined with Liquid Chromatography‐Tandem Mass Spectrometry","year":2013,"lang":"en","type":"article","venue":"Journal of the Chinese Chemical Society","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency; National Science Council","keywords":"Chemistry; Chromatography; Extraction (chemistry); Mass spectrometry; Detection limit; Liquid chromatography–mass spectrometry; Analyte; Carbon nanotube; Sorbent; Sample preparation; Tandem mass spectrometry; Adsorption; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491917,0.0005755764,0.0003802128,0.0005011974,0.0002327494,0.000269151,0.0003006264,0.0007159236,0.0002243094],"category_scores_gemma":[0.0004657921,0.0003095964,0.0004025222,0.0002876283,0.0002578293,0.0002973931,0.0002518119,0.000386336,0.0001805663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002735284,"about_ca_system_score_gemma":0.0003274382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000815533,"about_ca_topic_score_gemma":0.001899685,"domain_scores_codex":[0.9995329,0.0001007701,0.00003691143,0.0001074275,0.0001931746,0.0000288346],"domain_scores_gemma":[0.9997392,0.00009128373,0.00005584859,0.00001545921,0.00008293267,0.0000151503],"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":[0.00002845827,0.00001240543,0.0002340805,0.00003988512,0.00001402037,0.00002437089,0.000005532109,0.00008895963,0.9976423,0.00001492917,0.00001221954,0.001882788],"study_design_scores_gemma":[0.000008019068,0.0001094184,0.00167556,0.000006501687,0.0000199321,0.0001444481,0.000008266713,0.003899458,0.9936007,0.00002406257,0.0004900536,0.00001360422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8460437,0.007586454,0.1433166,0.000247732,0.0001950189,0.0002015455,0.0007166114,0.0005189849,0.001173232],"genre_scores_gemma":[0.8105886,0.002894658,0.183457,0.0002257926,0.0000555274,0.0002042099,0.000402817,0.00003642837,0.002134952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.000815533,"threshold_uncertainty_score":0.001984596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158845072632008,"score_gpt":0.2812445736184197,"score_spread":0.2696561228920996,"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."}}