{"id":"W2334524491","doi":"10.1021/ac300305s","title":"Dried Blood Spot Analysis by Digital Microfluidics Coupled to Nanoelectrospray Ionization Mass Spectrometry","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Newborn Screening Ontario; Children's Hospital of Eastern Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Analyte; Dried blood spot; Chromatography; Microfluidics; Mass spectrometry; Dried blood; Bioanalysis; Sample preparation; Capillary action; Analytical Chemistry (journal); Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001061134,0.0002675256,0.0003504658,0.00010185,0.0000893605,0.0001087047,0.0002488568,0.0001871379,0.0007858417],"category_scores_gemma":[0.00005040117,0.0002924211,0.0001931271,0.002077692,0.00004552252,0.0001318753,0.00003141637,0.0002234377,0.0001466582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527454,"about_ca_system_score_gemma":0.00002475928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003354627,"about_ca_topic_score_gemma":9.166529e-8,"domain_scores_codex":[0.9983643,0.00000670047,0.0003575035,0.0003077833,0.0002811882,0.000682571],"domain_scores_gemma":[0.9989668,0.00004637538,0.00003475852,0.0004355855,0.00006931,0.000447131],"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":[0.000005799486,0.00009446835,0.003176974,0.00002227137,0.0006598763,0.000001287617,0.0000156704,0.00001911984,0.9502982,0.0001385983,0.04553511,0.00003262519],"study_design_scores_gemma":[0.0001789983,0.00001597653,0.0003142638,0.000003635555,0.0008460328,0.000008443382,0.00002224338,0.001802777,0.9762153,0.0000368837,0.02017986,0.0003755719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828498,0.01153153,0.09988853,0.0001540931,0.00002800165,0.0001305466,0.00008708629,0.0002813953,0.005049019],"genre_scores_gemma":[0.9946637,0.002760254,0.0001654623,0.00009428944,0.0001877001,0.00002296462,0.0005802045,0.00005058728,0.001474843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1118139,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003595844353702435,"score_gpt":0.1949306274575758,"score_spread":0.1913347831038734,"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."}}