{"id":"W2080262237","doi":"10.1016/j.colsurfb.2007.08.013","title":"Enhanced mixing in polyacrylamide gels containing embedded silica nanoparticles as internal electroosmotic pumps","year":2007,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University","keywords":"Mixing (physics); Polyacrylamide; TRACER; Photobleaching; Self-healing hydrogels; Fluorescence recovery after photobleaching; Colloidal silica; Diffusion; Colloid; Chemical engineering; Mass transfer; Chemistry; Materials science; Electrophoresis; Convective mixing; Fluorescence; Chromatography; Convection; Nanotechnology; Polymer chemistry; Optics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003882816,0.0002729061,0.0003330841,0.0001619435,0.0001154488,0.0001071719,0.0002123811,0.00011276,0.00007049438],"category_scores_gemma":[0.00002779063,0.0002681299,0.00005627374,0.000338422,0.0001059297,0.0001521262,0.00005562576,0.0002298207,0.00002985994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103009,"about_ca_system_score_gemma":0.00002976948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001361542,"about_ca_topic_score_gemma":0.0002597623,"domain_scores_codex":[0.9983366,0.0000320218,0.0004884141,0.0003465019,0.000151846,0.0006445905],"domain_scores_gemma":[0.9994304,0.0001315249,0.00005472449,0.0002011212,0.0000366749,0.0001456051],"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":[0.0001541011,0.00002862566,0.001377413,0.00003027674,0.00004412135,0.000008362241,0.00086384,0.0001266523,0.9939129,0.0004092532,0.0002293338,0.002815145],"study_design_scores_gemma":[0.0009050229,0.0002117172,0.0028049,0.00008280769,0.00001510567,0.00002422735,0.001264681,0.001725527,0.9906672,0.000314842,0.001665854,0.0003181015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607355,0.03394944,0.001494034,0.0000577337,0.0001089378,0.0003203553,0.000003989912,0.0001783044,0.003151691],"genre_scores_gemma":[0.9899536,0.009388563,0.0001482072,0.00006071486,0.00003144777,0.00002414782,0.000003913356,0.00003832955,0.0003510856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921808,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005402510658429781,"score_gpt":0.2209017276173364,"score_spread":0.2154992169589066,"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."}}