{"id":"W2794345855","doi":"","title":"Electrical detection and actuation of single biological cells with application to deformability cytometry for markerless diagnostics","year":2003,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Cytometry; Flow cytometry; Computer science; Artificial intelligence; Computer vision; Engineering; Nanotechnology; Materials science; Biology; Molecular biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009839435,0.000139767,0.0002406921,0.0002116237,0.00006551831,0.000006362923,0.00009926542,0.0003379087,5.523502e-7],"category_scores_gemma":[0.00005590959,0.0001468737,0.00004317542,0.000298452,0.00005679861,0.0000470214,0.00001489441,0.0001116134,0.000001126176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302342,"about_ca_system_score_gemma":0.00001412738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006532452,"about_ca_topic_score_gemma":0.006299782,"domain_scores_codex":[0.9994691,0.00001351352,0.00009646804,0.0001912822,0.00009732381,0.000132292],"domain_scores_gemma":[0.9994785,0.0001066253,0.0001008959,0.0001486756,0.0001333503,0.00003200262],"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":[0.0004128772,0.00009580603,0.003636178,0.0005482849,0.00006145123,0.00000104649,0.0001124636,0.000095793,0.9471098,0.00005127052,0.0005435135,0.04733149],"study_design_scores_gemma":[0.0006457511,0.0009109385,0.09315572,0.0001318613,0.0002154636,0.000004922408,0.007907304,0.002879194,0.8919194,0.0001883987,0.001544914,0.0004961838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8245817,0.0001477284,0.1745753,0.00001473625,0.00005477749,0.0004328942,0.00002287031,0.00009317981,0.00007678835],"genre_scores_gemma":[0.9942095,0.0003955914,0.005271692,0.000002115439,0.000007759257,0.000001701203,0.00007880166,0.00001284595,0.00002003247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696277,"threshold_uncertainty_score":0.5989337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008911078438701961,"score_gpt":0.1805952269629988,"score_spread":0.1716841485242969,"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."}}