{"id":"W3206716478","doi":"10.1002/elps.202100203","title":"Investigating peak dispersion in free‐flow counterflow gradient focusing","year":2021,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dispersion (optics); Gaussian; Biological system; Range (aeronautics); Flow (mathematics); Work (physics); Diffusion; Function (biology); Resolution (logic); Computer science; Mechanics; Materials science; Chemistry; Physics; Optics; Thermodynamics; Computational chemistry","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":[0.0001335162,0.000227347,0.0002464441,0.0001380488,0.0001066552,0.00006356862,0.0002368714,0.0001146949,0.0002047598],"category_scores_gemma":[0.00006081144,0.0002575456,0.00009334659,0.0008398934,0.00004905125,0.0001029817,0.00006008847,0.0003220321,0.00003665252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389658,"about_ca_system_score_gemma":0.0000850935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000566833,"about_ca_topic_score_gemma":0.0001213604,"domain_scores_codex":[0.9984443,0.00005613312,0.0003227417,0.0003471885,0.0002296994,0.0006000004],"domain_scores_gemma":[0.999227,0.00004614639,0.00002996616,0.0005108408,0.0000611847,0.0001248209],"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":[0.000003689544,0.00003684426,0.0003213567,0.00004256015,0.0000289278,0.00003350954,0.0002356412,0.0002585067,0.8894592,0.0007727201,0.1052122,0.003594913],"study_design_scores_gemma":[0.0007007555,0.00006029221,0.003033706,0.0001389946,0.00004440954,0.00009961358,0.0001453007,0.01131395,0.858386,0.00331194,0.1221453,0.0006197348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.815857,0.1784021,0.002099629,0.0007989233,0.0001879276,0.0001642707,0.00001801787,0.0002191328,0.002253018],"genre_scores_gemma":[0.8848835,0.1121584,0.001717129,0.0002697936,0.0002606832,0.00008717649,0.0000891977,0.0001086667,0.0004255325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06902646,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005793670532340276,"score_gpt":0.1899715676023802,"score_spread":0.1841778970700399,"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."}}