{"id":"W2513906198","doi":"10.1149/ma2016-02/36/2305","title":"Electric Field-Driven Particle Separation in a Bifurcating Microchannel","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microchannel; Dielectrophoresis; Electrokinetic phenomena; Electric field; Particle (ecology); Mechanics; Lift (data mining); Current (fluid); Microfluidics; Materials science; Nanotechnology; Physics; Electrical engineering; Computer science; Engineering","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":[0.0001398469,0.0001304583,0.0001967219,0.0002028285,0.0004143702,0.0003959517,0.0003640724,0.000450509,0.0006101272],"category_scores_gemma":[0.0002811221,0.0001335501,0.0001697773,0.0001261281,0.0004869931,0.0004502744,0.0003325367,0.0003703103,0.0001880291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005528413,"about_ca_system_score_gemma":0.0006559951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008950211,"about_ca_topic_score_gemma":0.000921111,"domain_scores_codex":[0.9999309,0.000007570187,0.000004205764,0.00002483106,0.00001914174,0.0000133342],"domain_scores_gemma":[0.9998696,0.00004365012,0.00002570111,0.00001076384,0.00001944923,0.00003077887],"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":[0.00009782649,0.00008527973,0.0009121506,0.00004373995,0.00001120872,0.0001710936,0.0001212495,0.01592466,0.9677314,0.008681328,0.0003607322,0.005859408],"study_design_scores_gemma":[0.00009167912,0.0002082533,0.002801153,0.0000151256,0.0000138433,0.0001383365,0.00006042809,0.4843598,0.5045506,0.004987753,0.002729993,0.00004313122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667736,0.0002961917,0.02937834,0.0002998698,0.00007230434,0.00004479591,0.00008281278,0.0001831446,0.002868873],"genre_scores_gemma":[0.983957,0.0001598121,0.01380187,0.00007036658,0.00001574065,0.00003425278,0.00004994612,0.00001241659,0.001898652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008950211,"threshold_uncertainty_score":0.004011214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006092211558678823,"score_gpt":0.2179300513693433,"score_spread":0.2118378398106645,"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."}}