{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139858,0.0001366263,0.0001699111,0.00001481732,0.00006224038,0.000006789829,0.0001568159,0.000223228,0.00003404182],"category_scores_gemma":[0.0002683673,0.0001129617,0.00009835559,0.0002395901,0.0001725131,0.000001438798,0.0001463219,0.000142957,0.00001328121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001133456,"about_ca_system_score_gemma":0.00003481527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009866423,"about_ca_topic_score_gemma":6.65367e-7,"domain_scores_codex":[0.9990142,0.00001641305,0.0002467414,0.000285796,0.0001773295,0.0002595275],"domain_scores_gemma":[0.9995421,0.00002396183,0.00007296597,0.0002177676,0.00005935756,0.00008387945],"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":[0.00001752315,0.00006348416,0.000304214,0.00006881476,0.00007940619,0.000003594994,0.00003506853,0.00001150234,0.9930431,0.00005455796,0.006092995,0.0002256859],"study_design_scores_gemma":[0.000273716,0.00004200423,0.000344876,0.00002865713,0.00002571157,0.000001812199,0.0001705937,0.0001417673,0.9964805,0.00004389859,0.00229125,0.0001552043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958696,0.0005644628,0.00003743667,0.0003404188,0.00004918684,0.0000736141,0.00003599048,0.00002938365,0.002999871],"genre_scores_gemma":[0.9970203,0.0001229731,0.0001149305,0.00003932918,0.00009382336,0.000008007332,0.0001875907,0.0000108049,0.00240224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003801745,"threshold_uncertainty_score":0.4606445,"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."}}