{"id":"W1990414636","doi":"10.1021/ac050902o","title":"Ultrarapid Desalting of Protein Solutions for Electrospray Mass Spectrometry in a Microchannel Laminar Flow Device","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Analyte; Laminar flow; Diffusion; Chromatography; Analytical Chemistry (journal); Mass spectrometry; Microchannel; Semipermeable membrane; Mass transfer; Electrospray; Membrane; Nanotechnology; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002829202,0.0002401539,0.0003747187,0.0000836156,0.0001009932,0.00002570652,0.0003647479,0.0002468229,0.0015944],"category_scores_gemma":[0.000230586,0.000261491,0.0002094199,0.0006357357,0.00009622709,0.00007469406,0.00005194364,0.0003921366,0.000007035857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611023,"about_ca_system_score_gemma":0.00008799385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001970642,"about_ca_topic_score_gemma":0.00001099441,"domain_scores_codex":[0.998031,0.000007492949,0.0005861013,0.0004631287,0.0002084555,0.0007037905],"domain_scores_gemma":[0.9989871,0.0001537117,0.0001756083,0.0004457298,0.0001075642,0.0001302903],"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":[0.00002760174,0.0002760828,0.0004337545,0.0003882532,0.00003719136,0.000001487627,0.0000167791,0.00003052771,0.9952388,0.002785982,0.0001954931,0.0005680455],"study_design_scores_gemma":[0.0004490091,0.00002478297,0.00004087653,0.00009791462,0.000044924,0.00001000344,0.00007128175,0.02386907,0.9701532,0.002623457,0.002342319,0.0002731673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8383036,0.0009663721,0.06809362,0.00308441,0.000009512483,0.0007502247,0.0002915128,0.0004235567,0.08807725],"genre_scores_gemma":[0.9258541,0.00002285583,0.07170395,0.00003479236,0.0001867774,0.000250194,0.00007928647,0.0000346197,0.001833395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08755059,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171819929974241,"score_gpt":0.2687081151506875,"score_spread":0.2515261221532634,"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."}}