{"id":"W2002011507","doi":"10.1088/0957-4484/23/49/495606","title":"Effect of solution conductivity and electrode shape on the deposition of carbon nanotubes from solution using dielectrophoresis","year":2012,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; CMC Microsystems","keywords":"Dielectrophoresis; Carbon nanotube; Materials science; Conductivity; Electrode; Deposition (geology); Electric field; Electrical resistivity and conductivity; Finite element method; Nanotechnology; Pulmonary surfactant; Chemical physics; Composite material; Mechanics; Chemical engineering; Thermodynamics; Microfluidics; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002349272,0.0001499634,0.0002576798,0.0001500693,0.00006159217,0.000003288287,0.0001022732,0.0004238499,0.000002692884],"category_scores_gemma":[0.0001239815,0.0001098934,0.00004108314,0.0002137503,0.0002611061,0.00004702735,0.00005305769,0.0002390004,6.084738e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008276047,"about_ca_system_score_gemma":0.000007125146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002647864,"about_ca_topic_score_gemma":0.00001095168,"domain_scores_codex":[0.9992369,0.0000776469,0.0001755507,0.0001358438,0.00008845068,0.0002855861],"domain_scores_gemma":[0.9994808,0.0001704971,0.00007161278,0.0002421856,0.0000221327,0.00001278397],"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":[0.00004907511,0.00001694541,0.0006309277,0.00002990096,0.00003548059,3.168177e-7,0.0000268144,0.000007417219,0.9817667,0.0003892584,0.00002881175,0.01701836],"study_design_scores_gemma":[0.0001521427,0.0003479306,0.0002738474,0.00004179023,0.00006298051,0.0000119933,0.00001330231,0.01177425,0.9869108,0.0002963949,0.00001827938,0.00009634096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920617,0.004735994,0.00245147,0.0001392904,0.0001255306,0.0001695776,0.000006626996,0.0002912433,0.00001856616],"genre_scores_gemma":[0.9989878,0.0004906083,0.0004656972,0.000004877569,0.00002576499,0.000005759443,0.000003486329,0.00001542824,5.956666e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692202,"threshold_uncertainty_score":0.4481322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115673533458702,"score_gpt":0.2146919722741414,"score_spread":0.2031246189282712,"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."}}