{"id":"W4385624774","doi":"10.1109/nemo56117.2023.10202267","title":"Dielectrophoresis Characterization of Particles and Cells using Imaging Flow Cytometry","year":2023,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dielectrophoresis; Microfluidics; Materials science; Dielectric; Multiphysics; Characterization (materials science); Electric field; Particle (ecology); Polystyrene; Chinese hamster ovary cell; Tracking (education); Nanotechnology; Optoelectronics; Chemistry; Physics; Composite material; Finite element method; Polymer","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":[],"consensus_categories":[],"category_scores_codex":[0.00005006351,0.00006020235,0.00008392057,0.0001357538,0.00002522055,0.00001410478,0.00003497126,0.00003137678,0.000007764596],"category_scores_gemma":[0.0000088027,0.00005371957,0.00001380318,0.0003623849,0.00003554154,0.00004969587,0.00003247525,0.00003301936,0.000005442402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001033349,"about_ca_system_score_gemma":0.000002886125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005865721,"about_ca_topic_score_gemma":2.923419e-7,"domain_scores_codex":[0.9996442,0.000004278924,0.0000997598,0.0000726561,0.00004522747,0.0001339199],"domain_scores_gemma":[0.9998665,0.00001324836,0.00001245495,0.0000812111,0.00001283086,0.00001378891],"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":[0.000001170064,0.000001889086,0.001141899,0.00002748917,0.000005879709,0.000002155072,0.0000306463,0.00004022594,0.9835983,0.0000156454,0.0002135172,0.01492119],"study_design_scores_gemma":[0.00003676924,0.000003651952,0.003335894,0.00001122509,0.000005595227,0.000002007561,0.00004841612,0.1852662,0.8110906,0.00004364499,0.000102015,0.00005401337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846703,0.0001670854,0.01435612,0.00004074771,0.0000559375,0.00003427732,0.000004695368,0.0006326235,0.00003822904],"genre_scores_gemma":[0.9967173,0.0008497546,0.002381301,0.000007698425,0.00001136849,4.754238e-7,0.000004263361,0.00001139569,0.00001647543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852259,"threshold_uncertainty_score":0.219062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009736016552400322,"score_gpt":0.1952176102817869,"score_spread":0.1854815937293866,"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."}}