{"id":"W2980353674","doi":"10.1007/s00542-019-04629-3","title":"Dielectrophoresis-based microfluidic platform to sort micro-particles in continuous flow","year":2019,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dielectrophoresis; Microchannel; Microfluidics; Sorting; Particle (ecology); Electric field; Materials science; Electrode; Flow (mathematics); sort; Channel (broadcasting); Nanotechnology; Computer science; Mechanics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003041808,0.0004987377,0.000716689,0.0007776638,0.00007946742,0.0001188924,0.0008844356,0.0006963215,0.00001888021],"category_scores_gemma":[0.00009518643,0.0004559948,0.0001347298,0.001023668,0.0001464773,0.0001132729,0.0002426665,0.000521572,0.00063861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003770699,"about_ca_system_score_gemma":0.00005093098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005436855,"about_ca_topic_score_gemma":0.00006834594,"domain_scores_codex":[0.9974616,0.00001639762,0.0006618548,0.0006105168,0.0002079882,0.001041694],"domain_scores_gemma":[0.9986764,0.00009434621,0.00007002533,0.001040703,0.00006899435,0.00004955848],"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":[0.00003801258,0.00003680728,0.007594306,0.0002407257,0.00002671339,0.00004171134,0.00007227478,0.0001499972,0.9693118,0.0001051913,0.01164896,0.01073355],"study_design_scores_gemma":[0.0006314186,0.0001596284,0.0006025131,0.0003654488,0.00001193945,0.00003781453,0.001352999,0.0007961433,0.9752385,0.0002185212,0.01999339,0.0005917064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974673,0.01451154,0.001397854,0.0005429509,0.0003720373,0.0009603978,0.00005067334,0.007290795,0.0002007536],"genre_scores_gemma":[0.9928078,0.0007407679,0.006056052,0.00007682791,0.00001515814,0.000077711,0.0000153717,0.0000834109,0.0001268822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01813482,"threshold_uncertainty_score":0.9997892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006943775391585595,"score_gpt":0.190273676661816,"score_spread":0.1833299012702304,"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."}}