{"id":"W2913642780","doi":"10.1002/elps.201800451","title":"Dielectrophoretic trapping of single leukemic cells using the conventional and compact optical measurement systems","year":2019,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Single-cell analysis; Rhodamine 123; Inverted microscope; Microfluidics; Fluorescence; Cell; Efflux; Fluorescence microscope; Chemistry; Dielectrophoresis; Microscope; Rhodamine; Biophysics; Materials science; Nanotechnology; Multiple drug resistance; Biology; Biochemistry; Pathology; Optics","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":[0.0002159871,0.0001640886,0.0002599244,0.00008901548,0.00005954631,0.00003654949,0.0001440398,0.00009774158,0.00001410607],"category_scores_gemma":[0.00001550557,0.000121695,0.00006807417,0.0001914637,0.0001322749,0.0000287674,0.00002212305,0.0001773553,0.00000477617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400503,"about_ca_system_score_gemma":0.00003801501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323226,"about_ca_topic_score_gemma":0.000001239571,"domain_scores_codex":[0.99894,0.00003299686,0.0002550544,0.0001674009,0.0002794287,0.0003251343],"domain_scores_gemma":[0.9995819,0.00005231914,0.00004880655,0.0002191868,0.00006548287,0.00003228314],"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":[0.0000174192,0.00001538249,0.00008796815,0.00009132997,0.00007476815,0.000001567381,0.00002654779,0.0006103715,0.9972037,0.0005759441,0.001101407,0.0001935952],"study_design_scores_gemma":[0.000226974,0.0001517607,0.000342265,0.0001088199,0.00005192373,0.00003833097,0.0001001961,0.01680523,0.9812033,0.00008151102,0.0007253932,0.0001642625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808975,0.01400627,0.004132301,0.00004941888,0.0001763353,0.0002434359,0.000003039501,0.000132741,0.0003588922],"genre_scores_gemma":[0.9990213,0.0006880477,0.0002075306,0.000007245115,0.00002942859,0.000001613369,0.000001287512,0.00002334169,0.00002018975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812375,"threshold_uncertainty_score":0.4962577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761268877053768,"score_gpt":0.1859551569632037,"score_spread":0.168342468192666,"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."}}