{"id":"W2107289242","doi":"10.1002/1097-0231(20000815)14:15<1377::aid-rcm31>3.0.co;2-2","title":"Integration of immobilized trypsin bead beds for protein digestion within a microfluidic chip incorporating capillary electrophoresis separations and an electrospray mass spectrometry interface","year":2000,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Chemistry; Chromatography; Mass spectrometry; Capillary electrophoresis; Trypsin; Electrospray; Cytochrome c; Analytical Chemistry (journal); Digestion (alchemy); Bovine serum albumin; Capillary action; Substrate (aquarium); Volumetric flow rate; Detection limit; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002909226,0.0005551997,0.0004241107,0.0002694432,0.0002155057,0.0005274163,0.000763552,0.000496928,0.0004588276],"category_scores_gemma":[0.0004036273,0.0004799704,0.0002752007,0.0001918882,0.000266857,0.0003464121,0.0004447268,0.0004739415,0.0003853062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890178,"about_ca_system_score_gemma":0.0004663795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006046163,"about_ca_topic_score_gemma":0.001025475,"domain_scores_codex":[0.9996895,0.00004001475,0.00003297524,0.00009959913,0.00009265722,0.00004526812],"domain_scores_gemma":[0.9997075,0.0001196365,0.00005424326,0.00002697065,0.00005107637,0.00004048793],"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":[0.00006045247,0.00002380513,0.0002167404,0.0000717268,0.00001056892,0.00003784827,0.00001078873,0.0002583043,0.9936284,0.0001411217,0.00007888873,0.005461322],"study_design_scores_gemma":[0.00002058659,0.0002380484,0.001763701,0.000007274291,0.00002452205,0.0003293783,0.00001043749,0.006044401,0.9882764,0.0000724197,0.003193632,0.00001916484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6354136,0.009171258,0.3481013,0.000289921,0.0005014334,0.0005622474,0.0006964706,0.003124754,0.002139025],"genre_scores_gemma":[0.5301452,0.002689056,0.4625283,0.0002493926,0.0001006771,0.0005702106,0.0007743604,0.0000681216,0.002874586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000763552,"threshold_uncertainty_score":0.003548026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280766719410619,"score_gpt":0.2631410716165301,"score_spread":0.2503334044224239,"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."}}