{"id":"W2930571128","doi":"10.31438/trf.hh2014.6","title":"MULTIPLEXED PROTEOMICS USING TWO ORDERS OF MAGNITUDE ENHANCED DIELECTROPHORESIS: A COMPREHENSIVE ELECTRICAL AND ELECTROTHERMAL DESIGN METHODOLOGY","year":2014,"lang":"en","type":"article","venue":"2014 Solid-State, Actuators, and Microsystems Workshop Technical Digest","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Dielectrophoresis; Microsystem; Multiplexing; Materials science; Computer science; Voltage; Buffer (optical fiber); Nanotechnology; Microfluidics; Electronic engineering; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005810515,0.0005639555,0.001092968,0.0002961348,0.0001762358,0.00008171071,0.0003176852,0.0004998762,0.000003140188],"category_scores_gemma":[0.000309068,0.0005030152,0.0001158628,0.0003758999,0.000496682,0.000104603,0.0001824897,0.0006437912,0.000003307806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183073,"about_ca_system_score_gemma":0.00006550884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081228,"about_ca_topic_score_gemma":0.00005186832,"domain_scores_codex":[0.9971793,0.0003306963,0.0007834052,0.0006191743,0.0001778919,0.0009095811],"domain_scores_gemma":[0.9981723,0.0008328526,0.0002170268,0.0004584892,0.0001515623,0.0001677337],"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":[0.0002011028,0.00005006455,0.00009711755,0.0001637291,0.00009358778,0.00000489483,0.0001393932,0.0002425954,0.9889066,0.000134062,0.0004899429,0.009476968],"study_design_scores_gemma":[0.001357042,0.0003273583,0.0002666381,0.0002390576,0.00008628888,0.0001853926,0.00008394825,0.00774763,0.9877401,0.0006292258,0.000636563,0.0007007351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5754855,0.002302124,0.4206821,0.0000232285,0.00008664172,0.0008567374,0.00001099676,0.0005339104,0.00001882256],"genre_scores_gemma":[0.9359058,0.002119352,0.06169304,0.00004703548,0.00005765473,0.00005263343,0.000008477039,0.000100193,0.00001580455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3604204,"threshold_uncertainty_score":0.9997422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650912029993776,"score_gpt":0.2712297333496886,"score_spread":0.2447206130497509,"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."}}