{"id":"W2012006094","doi":"10.1021/ac4039338","title":"Hydrogel Micropatches for Sampling and Profiling Skin Metabolites","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Chiao Tung University; World Anti-Doping Agency; National Science Council","keywords":"Chemistry; Chromatography; Mass spectrometry; Desorption electrospray ionization; Ambient ionization; Ion suppression in liquid chromatography–mass spectrometry; Electrospray ionization; Sample preparation; SWEAT; Sampling (signal processing); Analytical Chemistry (journal); Chemical ionization; Ionization; Liquid chromatography–mass spectrometry; Ion","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":[0.0001547259,0.0001622374,0.0002348989,0.00001639733,0.0001035815,0.00005143183,0.0001637925,0.0001380515,0.0005110038],"category_scores_gemma":[0.0002012136,0.0001554648,0.0001093171,0.00009819081,0.00008604473,0.00002996355,0.0000651013,0.0001600392,0.000003102738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002369039,"about_ca_system_score_gemma":0.0000148965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008424975,"about_ca_topic_score_gemma":3.848404e-7,"domain_scores_codex":[0.9990105,0.000002238068,0.0002339955,0.000373709,0.00009990959,0.0002796515],"domain_scores_gemma":[0.9992092,0.000230643,0.00006369052,0.000312009,0.00004933664,0.0001351407],"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":[0.000009212286,0.00005846674,0.002517942,0.0004120122,0.00004128637,2.506902e-7,0.000008134374,0.000001254602,0.966438,0.02736816,0.0001003306,0.003044954],"study_design_scores_gemma":[0.0001786917,0.000004778929,0.00003574817,0.00001914667,0.00007557675,0.000007932069,0.00003363547,0.007535798,0.948706,0.02006868,0.02313858,0.0001954336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916491,0.0003061301,0.01203463,0.0004017318,0.000006368774,0.0001075562,0.00005987627,0.0002413969,0.07035127],"genre_scores_gemma":[0.9732763,0.00002413608,0.02476992,0.00006107124,0.0002626878,0.00008509139,0.00007158317,0.00002532086,0.00142391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06892736,"threshold_uncertainty_score":0.633967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796969185211575,"score_gpt":0.281164613356773,"score_spread":0.2631949215046573,"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."}}