{"id":"W1963846071","doi":"10.1063/1.3368991","title":"Induced charge electro-osmotic concentration gradient generator","year":2010,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microchannel; Microfluidics; Nonlinear system; Electric field; Materials science; Concentration gradient; Mechanics; Biological system; Chemical physics; Optoelectronics; Nanotechnology; Chemistry; Physics","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":[0.0000912108,0.0002527618,0.0002719583,0.0001828351,0.0001336238,0.0003044821,0.0004859232,0.000335547,0.001084393],"category_scores_gemma":[0.0002513845,0.0001431076,0.00009787627,0.0001502519,0.000233139,0.0003238512,0.0004547063,0.0004296059,0.0002419545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689666,"about_ca_system_score_gemma":0.0002137754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009735276,"about_ca_topic_score_gemma":0.0001707046,"domain_scores_codex":[0.9998856,0.000007399244,0.000006308107,0.00003254429,0.0000489533,0.0000191496],"domain_scores_gemma":[0.9998581,0.00004017362,0.00003837058,0.000008918123,0.0000285062,0.00002587751],"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":[0.0000475822,0.00002605641,0.0001254869,0.00008365707,0.000002278196,0.0001151002,0.00002415761,0.0002446442,0.9896152,0.001129201,0.0003361322,0.008250564],"study_design_scores_gemma":[0.00002434688,0.0001027116,0.0006194556,0.000005885852,0.000003962778,0.0002094031,0.00000721149,0.0066655,0.9860555,0.0001644634,0.006126096,0.00001543961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199899,0.00260792,0.1611122,0.001083913,0.0007422136,0.0004524962,0.0006028466,0.001367816,0.01204073],"genre_scores_gemma":[0.9546582,0.0006417873,0.03744255,0.0003210083,0.00005960768,0.0001541808,0.0001553191,0.00003635629,0.006530962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001084393,"threshold_uncertainty_score":0.003627658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032771181234284,"score_gpt":0.1987657629475636,"score_spread":0.1884380511352207,"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."}}