{"id":"W2334303725","doi":"10.1021/ac4006233","title":"On-chip Enrichment and Analysis of Peptide Subsets Using a Maleimide-functionalized Fluorous Affinity Biochip and Nanostructure Initiator Mass Spectrometry","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Chemistry; Mass spectrometry; Maleimide; Analyte; Nanostructure; Biochip; Combinatorial chemistry; Matrix-assisted laser desorption/ionization; Desorption; Peptide; Chromatography; Analytical Chemistry (journal); Nanotechnology; Adsorption; Polymer chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003851033,0.0004938873,0.0005291281,0.0004907811,0.0002880998,0.0004018155,0.0005944066,0.0003808121,0.0007702454],"category_scores_gemma":[0.0003031875,0.0002240918,0.0002620409,0.0002861027,0.0002316498,0.000302728,0.000442973,0.0004370423,0.0006755937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003568378,"about_ca_system_score_gemma":0.0003430379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003161269,"about_ca_topic_score_gemma":0.001246633,"domain_scores_codex":[0.9995472,0.0000433141,0.00001989269,0.0001266375,0.0002148653,0.00004810275],"domain_scores_gemma":[0.9998786,0.000038503,0.00001940835,0.00001886367,0.00002614443,0.00001838201],"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":[0.00002038305,0.00001176689,0.00006849891,0.0000155497,0.000002926788,0.00001254439,0.000004753574,0.00004052323,0.9976178,0.00003931297,0.00002828109,0.0021376],"study_design_scores_gemma":[0.000003775079,0.00004051144,0.0009086996,0.000001784817,0.000005039497,0.00008980111,0.000005938726,0.001886278,0.9959587,0.0000422639,0.001052759,0.000004437296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6784772,0.001936538,0.3120681,0.0001849468,0.0000877268,0.0003075695,0.0009945794,0.001447417,0.004495827],"genre_scores_gemma":[0.5035967,0.001777616,0.4856214,0.0002408995,0.00004595592,0.0005715623,0.001601295,0.0001577429,0.006386627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007702454,"threshold_uncertainty_score":0.002589047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421985562781157,"score_gpt":0.2563689538767487,"score_spread":0.2421490982489372,"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."}}