{"id":"W3026343266","doi":"10.1016/j.microc.2020.105048","title":"Facile preparation of a magnetic porous organic frameworks for highly sensitive determination of eight alkaloids in urine samples based UHPLC-MS/MS","year":2020,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Berberine and alkaloids research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Western University; National Natural Science Foundation of China","keywords":"Chromatography; Extraction (chemistry); Sorbent; Solid phase extraction; Desorption; Sample preparation; Mass spectrometry; Chemistry; Detection limit; Scanning electron microscope; Materials science; Adsorption; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000192309,0.0001415508,0.0004069598,0.0001323861,0.00003011644,0.00001564091,0.0001034118,0.0002235689,0.0002297858],"category_scores_gemma":[0.0005048399,0.0001249471,0.0001259954,0.0003011702,0.00008713637,0.00006880553,0.00004144309,0.0005959769,0.000003659969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007976843,"about_ca_system_score_gemma":0.0002068175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001865382,"about_ca_topic_score_gemma":0.000007101301,"domain_scores_codex":[0.9986184,0.00005096402,0.0005665268,0.0002089719,0.0003042266,0.0002509348],"domain_scores_gemma":[0.9989008,0.0002097488,0.0001755319,0.0001166332,0.0004201158,0.0001771192],"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":[0.001148683,0.0002077303,0.001292164,0.0002859156,0.00001981814,0.00003365172,0.0004712828,0.000005119195,0.9896197,0.000003326363,0.000704482,0.006208184],"study_design_scores_gemma":[0.002811319,0.001273989,0.001996691,0.0002503782,0.00005723895,0.0001336506,0.00008958177,0.003700843,0.9884826,0.0001333853,0.0009538448,0.0001164893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97188,0.0002569518,0.02504136,0.002257538,0.00002572309,0.0003920338,0.00005153903,0.0000130518,0.00008177294],"genre_scores_gemma":[0.9813107,0.00005107876,0.01793958,0.000325484,0.0002070869,0.000008916799,0.00008847318,0.0000208466,0.00004786051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009430641,"threshold_uncertainty_score":0.5095196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929235887661927,"score_gpt":0.2981272535502392,"score_spread":0.2788348946736199,"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."}}