{"id":"W2168500430","doi":"10.1002/elps.201400292","title":"Size‐based cell sorting with a resistive pulse sensor and an electromagnetic pump in a microfluidic chip","year":2014,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microchannel; Microfluidics; Propidium iodide; Cell sorting; Sorting; Resistive touchscreen; Flow cytometry; Materials science; Computer science; Cell; SIGNAL (programming language); Lab-on-a-chip; Chip; Biomedical engineering; Nanotechnology; Chemistry; Apoptosis; Biology; Engineering; Molecular biology; Computer vision","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":[0.0002148452,0.0003132044,0.0003313045,0.000186402,0.00009941935,0.00006301842,0.0001695652,0.0001745818,0.00001707879],"category_scores_gemma":[0.0001115976,0.0002756222,0.00003614389,0.000493045,0.0001202713,0.00006306068,0.00002423346,0.0003446872,0.000006435009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009684903,"about_ca_system_score_gemma":0.00004160351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000102846,"about_ca_topic_score_gemma":0.00007966987,"domain_scores_codex":[0.9983922,0.00008535219,0.0002692275,0.0004228619,0.0001489484,0.0006814051],"domain_scores_gemma":[0.9993144,0.0001522741,0.00005166895,0.0003570186,0.0000370523,0.00008762726],"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":[0.0001190431,0.00003812672,0.001209242,0.00006352156,0.00001125209,0.00002885777,0.00007481259,0.00001050871,0.9954603,0.00003468429,0.0005091103,0.002440483],"study_design_scores_gemma":[0.0008379654,0.0008726237,0.01244243,0.00005520388,0.00003812568,0.00002441058,0.0000682382,0.002775654,0.9816923,0.0002253216,0.0005373366,0.0004303985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935457,0.003951925,0.0008330265,0.0001529902,0.00001889126,0.0002221544,0.000002952469,0.0005477516,0.0007245972],"genre_scores_gemma":[0.994059,0.0008959621,0.004745413,0.00009223988,0.00004666551,0.00001911193,0.000006630596,0.00006816299,0.00006681136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01376807,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004214726552588493,"score_gpt":0.1841383564102086,"score_spread":0.1799236298576201,"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."}}