{"id":"W2750478040","doi":"10.1039/c7ay01648d","title":"Molecularly imprinted polymer-coated paper as a substrate for highly sensitive analysis using paper spray mass spectrometry: quantification of metabolites in urine","year":2017,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Mass spectrometry; Chromatography; Molecularly imprinted polymer; Substrate (aquarium); Chemistry; Polymer; Selectivity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202735,0.001672179,0.0006112811,0.001012796,0.000440327,0.0006007422,0.001097153,0.001415555,0.002179347],"category_scores_gemma":[0.001549655,0.0008230006,0.0004510104,0.0007692617,0.0005690731,0.0006808268,0.0004303049,0.001274058,0.001617433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266533,"about_ca_system_score_gemma":0.0006822044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608044,"about_ca_topic_score_gemma":0.0007220629,"domain_scores_codex":[0.9987963,0.0003274108,0.0000727102,0.0003225051,0.000412882,0.00006807944],"domain_scores_gemma":[0.9990836,0.0003600347,0.0001297026,0.0001045683,0.0001988545,0.0001231975],"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":[0.00007093425,0.00003198199,0.0001575771,0.0001160318,0.0000238203,0.00009987803,0.00001609233,0.00009170063,0.9903353,0.0001138474,0.0001620262,0.00878063],"study_design_scores_gemma":[0.000008623673,0.000171664,0.0009136978,0.000007281014,0.00002084746,0.000381983,0.000008024522,0.001508096,0.9947296,0.00006110469,0.00217752,0.00001157327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2322621,0.01335492,0.7390293,0.0007704902,0.0009099665,0.0007300512,0.001078524,0.004747891,0.007116711],"genre_scores_gemma":[0.3315319,0.01012741,0.6430342,0.000780892,0.0002209476,0.0009482233,0.00128508,0.0003890954,0.01168235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002179347,"threshold_uncertainty_score":0.007290661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827724035751342,"score_gpt":0.3889787762541261,"score_spread":0.3507015358966127,"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."}}