{"id":"W2090732932","doi":"10.1063/1.4793223","title":"Differential electronic detector to monitor apoptosis using dielectrophoresis-induced translation of flowing cells (dielectrophoresis cytometry)","year":2013,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Dielectrophoresis; Population; Polarizability; Detector; Flow cytometry; Annexin; Apoptosis; Cytometry; Chinese hamster ovary cell; Microfluidics; Chemistry; Materials science; Physics; Nanotechnology; Cell culture; Biology; Molecular biology; Optics; Medicine; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001012707,0.000477129,0.0005614469,0.0007330304,0.00014557,0.00008764617,0.0004393421,0.0004345417,0.00007975075],"category_scores_gemma":[0.00003102517,0.0004708759,0.0002395259,0.001160097,0.00006993759,0.0001417807,0.00007726207,0.0003257479,0.00006006887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004097324,"about_ca_system_score_gemma":0.00005839007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002770877,"about_ca_topic_score_gemma":0.000003393911,"domain_scores_codex":[0.9975477,0.00004793035,0.0006278311,0.0004466219,0.0002953482,0.001034608],"domain_scores_gemma":[0.9990872,0.00006888057,0.00006071252,0.0005107879,0.0001273319,0.0001451071],"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":[0.00003697861,0.0000397123,0.00003685877,0.00007040315,0.0001268097,8.797329e-7,0.00008182428,0.00001171572,0.9797254,0.000009324803,0.002071002,0.01778905],"study_design_scores_gemma":[0.0003711414,0.0002313294,0.0001955158,0.00005513346,0.00009922952,0.000004098016,0.00005883744,0.002642864,0.995241,0.00003752729,0.0005507597,0.0005125923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640366,0.003457391,0.0306872,0.00006272666,0.0005042395,0.0006153945,0.000020107,0.0005958821,0.00002046036],"genre_scores_gemma":[0.9942484,0.002319128,0.003098817,0.0000244017,0.0001493172,0.00002488355,0.00001056185,0.0001140946,0.00001043035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03021177,"threshold_uncertainty_score":0.9997743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139158298800711,"score_gpt":0.2135083343338899,"score_spread":0.1995925044538188,"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."}}