{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940511,0.0002368209,0.0003757303,0.0002907478,0.00004378962,0.00001678611,0.0002042171,0.0001694193,0.000007080092],"category_scores_gemma":[0.000146886,0.0002396957,0.00005618936,0.000709596,0.0001437705,0.00006760708,0.00004646679,0.0004217714,0.000003982596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002837241,"about_ca_system_score_gemma":0.0001142242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574601,"about_ca_topic_score_gemma":0.00009077552,"domain_scores_codex":[0.998299,0.00005589667,0.0003747265,0.000287293,0.0001880144,0.0007950764],"domain_scores_gemma":[0.9993942,0.00006853083,0.00004597695,0.0003375982,0.00005449823,0.00009918093],"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":[0.00004940327,0.00005341706,0.0008680171,0.00004547097,0.00003482003,0.000009346714,0.0001433864,0.00006344055,0.9887179,0.0009757443,0.001390941,0.007648072],"study_design_scores_gemma":[0.0006520517,0.0004548452,0.001823536,0.00003179289,0.00002921818,0.00004947784,0.00007690442,0.0009244641,0.9906688,0.003627089,0.001327474,0.0003343099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721233,0.02596663,0.0002422163,0.0001488713,0.00004516325,0.00008795207,0.000005342076,0.0004162462,0.0009642969],"genre_scores_gemma":[0.9915534,0.00787153,0.0004099804,0.00001248142,0.00001709169,0.00003356888,0.000004798551,0.00003972299,0.00005748045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943006,"threshold_uncertainty_score":0.9774507,"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."}}