{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545565,0.000317493,0.0002266817,0.0003468776,0.0001367453,0.0002796793,0.0003885027,0.0004608826,0.001034356],"category_scores_gemma":[0.0003985589,0.0001676142,0.0001200469,0.0002490826,0.0002488756,0.0003340919,0.0003613135,0.0003407983,0.0004495228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292351,"about_ca_system_score_gemma":0.0001427983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111208,"about_ca_topic_score_gemma":0.0001872703,"domain_scores_codex":[0.9997585,0.0000312431,0.00001369541,0.00006417416,0.0001084444,0.00002392177],"domain_scores_gemma":[0.9997863,0.00007946065,0.00005918782,0.00002086146,0.00003038702,0.00002375661],"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":[0.000009191206,0.000005771083,0.00009497289,0.00002916091,0.000001471927,0.0000167855,0.000006705685,0.00008098353,0.9929222,0.0001860261,0.00004969212,0.00659707],"study_design_scores_gemma":[0.000005595257,0.00008035795,0.001250053,0.000004393439,0.000005064839,0.0002454134,0.00000852108,0.003499788,0.9905931,0.0001887136,0.004110747,0.000008247462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4514478,0.004808008,0.5362908,0.0007365756,0.0002343619,0.0002314001,0.000481363,0.001240808,0.004528838],"genre_scores_gemma":[0.7180628,0.003427842,0.2720681,0.0004899208,0.0001144158,0.0003407988,0.0004535018,0.00006790634,0.004974644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001034356,"threshold_uncertainty_score":0.003460228,"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."}}