{"id":"W2116837381","doi":"10.1177/1087057105284339","title":"Nonequilibrium Capillary Electrophoresis of Equilibrium Mixtures (NECEEM): A Novel Method for Biomolecular Screening","year":2006,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Capillary electrophoresis; Chemistry; Laminar flow; Non-equilibrium thermodynamics; Diffusion; Surface plasmon resonance; Electrophoresis; Nanofluidics; Biological system; Nanotechnology; Chromatography; Materials science; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.0001917483,0.0003422359,0.0004443238,0.0002021755,0.00007277617,0.00007182061,0.0003322051,0.0001709551,0.00002413476],"category_scores_gemma":[0.00002091168,0.0003483915,0.0003288206,0.000483403,0.00007635434,0.0002255726,0.00006020077,0.0001415091,0.00000527292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006342871,"about_ca_system_score_gemma":0.0000699957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001692592,"about_ca_topic_score_gemma":0.000007885176,"domain_scores_codex":[0.9981627,0.0000289546,0.0005247243,0.0004088547,0.0002581705,0.0006166346],"domain_scores_gemma":[0.9990996,0.0001322837,0.0001005583,0.0005069356,0.0000878896,0.00007270007],"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":[0.00005783972,0.00006623028,0.0000398099,0.0001397193,0.0001361371,0.000002086802,0.00001966718,0.001028912,0.9452837,0.007612255,0.04540941,0.0002042258],"study_design_scores_gemma":[0.0005955641,0.0001023852,0.0002662159,0.00003177723,0.0001186118,0.00002518953,0.00002075814,0.008467675,0.9647076,0.001370555,0.02388654,0.0004071837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1767804,0.04222281,0.7789009,0.00007283421,0.00009979969,0.0004950456,0.00020156,0.0001764577,0.001050271],"genre_scores_gemma":[0.9574668,0.003805913,0.03636259,0.0001096773,0.0004867717,0.0003167355,0.0005006018,0.0002480806,0.0007027992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7806865,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006880655132477045,"score_gpt":0.2267428482465949,"score_spread":0.2198621931141179,"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."}}