{"id":"W1896602893","doi":"10.1002/elps.201500062","title":"Electrophoretic mobility of oil droplets in electrolyte and surfactant solutions","year":2015,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrophoresis; Pulmonary surfactant; Electric field; Zeta potential; Oil droplet; Electrolyte; Chemistry; Vortex; Drag; Analytical Chemistry (journal); Chemical engineering; Materials science; Chromatography; Nanotechnology; Thermodynamics; Physics; Organic chemistry; Physical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005270575,0.0005455823,0.0003281256,0.0005470841,0.0003279571,0.0004260241,0.0003069402,0.0004001756,0.0006016295],"category_scores_gemma":[0.001186176,0.000118145,0.0001862899,0.0005089573,0.0003133744,0.0006351795,0.0003053253,0.0005968584,0.0001808438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177825,"about_ca_system_score_gemma":0.0003165956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785429,"about_ca_topic_score_gemma":0.0006102688,"domain_scores_codex":[0.999708,0.00005283728,0.00003450558,0.00006283529,0.00009870098,0.0000431212],"domain_scores_gemma":[0.9992622,0.0004053038,0.0000981195,0.00003137129,0.0001403346,0.00006268937],"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":[0.00003622573,0.000009633501,0.0002334954,0.00003459569,0.000004123568,0.00003823315,0.00004586048,0.00004627446,0.9983864,0.00007958326,0.000009707678,0.00107583],"study_design_scores_gemma":[0.000004864817,0.0001429903,0.0007291919,0.000007020278,0.00001070898,0.0001122872,0.00006483794,0.0006518372,0.9973971,0.0001072234,0.000765305,0.000006619161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735519,0.002959999,0.02132381,0.0001590187,0.00009281726,0.00006624543,0.0001777077,0.0001049411,0.001563545],"genre_scores_gemma":[0.9674069,0.003132376,0.02591507,0.0001019507,0.00003398405,0.0001100495,0.0004565078,0.00003565515,0.00280745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006016295,"threshold_uncertainty_score":0.002787352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111129445287499,"score_gpt":0.188899356523222,"score_spread":0.1777880620703471,"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."}}