{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004657832,0.0003662488,0.0005092145,0.0005407236,0.0002165858,0.0004599462,0.0009567355,0.0005944467,0.0004593705],"category_scores_gemma":[0.0004783545,0.0004600006,0.0003272952,0.0002963134,0.0003281479,0.0005526512,0.0004995998,0.0004283003,0.000361715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003972968,"about_ca_system_score_gemma":0.0004938262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002514173,"about_ca_topic_score_gemma":0.0003565436,"domain_scores_codex":[0.999549,0.00005516812,0.00003927496,0.0001166126,0.000202546,0.00003736701],"domain_scores_gemma":[0.999729,0.0001097418,0.00005653571,0.00002744437,0.00005032401,0.00002699253],"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":[0.00003592388,0.00002820747,0.0001374685,0.00004714231,0.00000455609,0.00002682015,0.00001723573,0.000267004,0.9900419,0.0003521577,0.0001806431,0.008860967],"study_design_scores_gemma":[0.00001621071,0.0001441182,0.00091947,0.000003926698,0.00001277672,0.000207664,0.000007448254,0.009218674,0.986416,0.0000987114,0.002930273,0.00002468557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4353938,0.003082037,0.5521862,0.0008179064,0.0004957367,0.0004398557,0.0005303128,0.003791043,0.003263159],"genre_scores_gemma":[0.5136165,0.001470317,0.4783977,0.0006057701,0.0001905863,0.000524361,0.0003316933,0.00009147649,0.004771583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009567355,"threshold_uncertainty_score":0.0028826,"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."}}