{"id":"W2914981555","doi":"10.1016/j.aca.2019.01.046","title":"Progression of change in membrane capacitance and cytoplasm conductivity of cells during controlled starvation using dual-frequency DEP cytometry","year":2019,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Cytoplasm; Chemistry; Flow cytometry; Capacitance; Apoptosis; Conductivity; Dielectrophoresis; Membrane potential; Chinese hamster ovary cell; Membrane; Biophysics; Cell biology; Analytical Chemistry (journal); Molecular biology; Biology; Biochemistry; Chromatography; Electrode","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":[0.0001773666,0.0001546048,0.0005062146,0.0003225269,0.00001912589,0.000008719232,0.00008437584,0.0001494625,0.00001439285],"category_scores_gemma":[0.0000605729,0.0001353518,0.00004972805,0.0003974582,0.0001053489,0.0001901189,0.00003476969,0.0001604983,9.474093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005730387,"about_ca_system_score_gemma":0.00001404441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004282341,"about_ca_topic_score_gemma":0.00001793955,"domain_scores_codex":[0.9990753,0.00002552101,0.0003549471,0.0001894039,0.0001484816,0.0002063765],"domain_scores_gemma":[0.9994613,0.00007800228,0.0001355611,0.0002508379,0.00004765136,0.00002667803],"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":[0.00005727728,0.00003521873,0.01303079,0.0003229248,0.00004051803,0.000002618382,0.0001541654,0.000005247896,0.98622,0.0000445997,0.000003967825,0.00008264126],"study_design_scores_gemma":[0.001312332,0.00004411562,0.01087123,0.0002705129,0.00003655904,0.000007856985,0.00008187294,0.01293877,0.9742228,0.00006895805,0.000001942794,0.0001430084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991209,0.0001341099,0.00001423678,0.00006043663,0.00007132309,0.0003729022,0.00001469911,0.00007826907,0.0001331328],"genre_scores_gemma":[0.9978854,0.0004941841,0.001574455,0.00000435695,0.00001373064,0.000003230521,0.000003010884,0.00001680394,0.000004832874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01293352,"threshold_uncertainty_score":0.5519488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555884947592982,"score_gpt":0.249376332409122,"score_spread":0.2238174829331922,"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."}}