{"id":"W4387736881","doi":"10.1021/acs.analchem.3c01736","title":"High-Efficiency Enrichment by Saturating Nanoliters of Protein Affinity Media","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Cumming School of Medicine, University of Calgary; Natural Sciences and Engineering Research Council of Canada; College of Engineering, Michigan State University; Mitacs; Michigan State University","keywords":"Chemistry; Agarose; Microbead (research); Protein purification; HeLa; Mass spectrometry; Biophysics; DNA; Chromatography; Target protein; Nanotechnology; Cell; Biochemistry","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":[0.0006829571,0.0007282125,0.0007287421,0.0004346854,0.0003426323,0.0007113506,0.0009588082,0.0006599781,0.0008688308],"category_scores_gemma":[0.0007003339,0.0003561489,0.0002413906,0.0004122684,0.0004296889,0.0005008987,0.0007898652,0.0007971112,0.001151851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000652236,"about_ca_system_score_gemma":0.0004087988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005720998,"about_ca_topic_score_gemma":0.001166719,"domain_scores_codex":[0.9991959,0.0001288491,0.00006908367,0.000190005,0.0003035032,0.000112721],"domain_scores_gemma":[0.9996369,0.0001715293,0.0000518571,0.00004261738,0.00005506437,0.00004206876],"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":[0.00001953845,0.00002026752,0.00006873652,0.00003508,0.000003316726,0.00001510905,0.00001233509,0.00009510106,0.9980479,0.0001427497,0.00006701904,0.001472756],"study_design_scores_gemma":[0.000003198152,0.00003546876,0.0001568371,0.000003553782,0.000003810863,0.00003180594,0.000005174742,0.002011186,0.996061,0.0000689214,0.001615231,0.000003750614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5686927,0.003788234,0.4167779,0.0008859772,0.0002558173,0.0005328637,0.00120522,0.003251283,0.004610086],"genre_scores_gemma":[0.7230814,0.00244987,0.2621647,0.0005887939,0.0001243318,0.0007921,0.002600736,0.0003856656,0.007812303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009588082,"threshold_uncertainty_score":0.00473237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007388179170516085,"score_gpt":0.2335280923039481,"score_spread":0.226139913133432,"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."}}