{"id":"W2006698400","doi":"10.1002/elps.200900359","title":"Temperature gradient focusing in miniaturized free‐flow electrophoresis devices","year":2009,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Temperature gradient; Isoelectric focusing; Free-flow electrophoresis; Chromatography; Electrophoresis; Balanced flow; Analyte; Isoelectric point; Flow (mathematics); Fluorescence; Chemistry; Concentration gradient; Analytical Chemistry (journal); Materials science; Gel electrophoresis of proteins; Mechanics; Polyacrylamide gel electrophoresis; Physics; Optics; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006168699,0.0006337062,0.0005452938,0.0003223796,0.000280836,0.0007521968,0.001288319,0.0009365358,0.0009079639],"category_scores_gemma":[0.0007176538,0.0006455179,0.0003674926,0.0002172633,0.0004367805,0.00102239,0.0004058681,0.0007112049,0.0007455879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004764934,"about_ca_system_score_gemma":0.0001917124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002786995,"about_ca_topic_score_gemma":0.0003111485,"domain_scores_codex":[0.9994549,0.0001373699,0.00003079211,0.0001620905,0.0001688021,0.00004611066],"domain_scores_gemma":[0.9997059,0.0001255258,0.00006806077,0.00003638097,0.00004440975,0.00001970115],"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":[0.0001008267,0.00002283201,0.00008387528,0.0001611458,0.0000151527,0.00009754481,0.00003650918,0.0009434494,0.98702,0.001552922,0.0007860069,0.009179791],"study_design_scores_gemma":[0.00003914968,0.0001567387,0.0008700126,0.00003826391,0.00003227523,0.0005610566,0.00001083899,0.01283236,0.9693691,0.0008785177,0.01515351,0.0000582757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2703218,0.02960453,0.6872151,0.001140491,0.001292219,0.0004187827,0.0007399761,0.00387544,0.005391605],"genre_scores_gemma":[0.5276659,0.01057074,0.4504573,0.0007509366,0.0005311902,0.0006155052,0.0006365991,0.0003690092,0.008402796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001288319,"threshold_uncertainty_score":0.003457248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003240073226219878,"score_gpt":0.1856853587183789,"score_spread":0.182445285492159,"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."}}