{"id":"W2033919299","doi":"10.1021/ac702567x","title":"Aptamer-Modified Monolithic Capillary Chromatography for Protein Separation and Detection","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Aptamer; Chromatography; Monolithic HPLC column; Affinity chromatography; Ionic strength; Biotinylation; Elution; Thrombin; Human serum albumin; High-performance liquid chromatography; Biochemistry; Platelet; Molecular biology","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":[0.00067691,0.0006753068,0.0005929354,0.0008942633,0.0003923179,0.0005016149,0.001250726,0.001267359,0.0007291891],"category_scores_gemma":[0.0006157781,0.0003600336,0.0003477565,0.0005453926,0.000536619,0.000458198,0.000329912,0.001107613,0.0006964945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009053961,"about_ca_system_score_gemma":0.001074883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883903,"about_ca_topic_score_gemma":0.00551315,"domain_scores_codex":[0.9991497,0.00008513517,0.00002598069,0.000169458,0.0004668356,0.0001029952],"domain_scores_gemma":[0.9994714,0.0001280357,0.00004048088,0.00002281049,0.0002520355,0.00008526116],"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":[0.00003259139,0.00003303136,0.0001102701,0.00009802591,0.00001612607,0.00007305894,0.00001522732,0.0001469957,0.9859089,0.0004336534,0.000378394,0.01275384],"study_design_scores_gemma":[0.00003688509,0.0002304553,0.001242831,0.00001795665,0.00003654528,0.00102868,0.00001499254,0.01061027,0.9749489,0.000436925,0.01134779,0.00004780916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1715242,0.02970302,0.7871625,0.0007655419,0.000705345,0.001070596,0.0008047393,0.004471283,0.003792768],"genre_scores_gemma":[0.3264695,0.007598438,0.6537346,0.001435071,0.000203813,0.0006269004,0.001068536,0.0001191489,0.008744013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002883903,"threshold_uncertainty_score":0.006569147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345659121226498,"score_gpt":0.277919896758734,"score_spread":0.264463305546469,"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."}}