{"id":"W1904855939","doi":"10.1002/elps.201200416","title":"Automatic particle detection and sorting in an electrokinetic microfluidic chip","year":2012,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sorting; Microfluidics; Electrokinetic phenomena; Resistive touchscreen; Materials science; Chip; Particle (ecology); Polystyrene; Lab-on-a-chip; Nanotechnology; Polymer; Optoelectronics; Computer science","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":[0.0004180917,0.0003807801,0.0004345982,0.0006102961,0.000335167,0.0005725084,0.0010649,0.0007534727,0.0008559569],"category_scores_gemma":[0.0004822021,0.0004670621,0.0002858396,0.0002545252,0.0003683445,0.0005884688,0.0005225763,0.0005013083,0.0005744242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004652069,"about_ca_system_score_gemma":0.0005452337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004240658,"about_ca_topic_score_gemma":0.0007350004,"domain_scores_codex":[0.9994979,0.00004316904,0.00004111988,0.0001361916,0.0002436294,0.00003798969],"domain_scores_gemma":[0.9996487,0.0001770391,0.00003771578,0.00004095848,0.00006378912,0.00003191256],"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":[0.00003500353,0.0000298037,0.0001077179,0.00004811081,0.000005958575,0.00002117757,0.00001873207,0.0002471079,0.9882117,0.0002887651,0.0002059559,0.01077993],"study_design_scores_gemma":[0.00002590935,0.0000857259,0.0009675649,0.000005894359,0.00001151265,0.0001289444,0.000007277736,0.009737689,0.9844388,0.0001136862,0.004451539,0.00002548801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4147674,0.001727765,0.5726823,0.0005516916,0.0004421702,0.0005354811,0.0007095632,0.004051737,0.004531872],"genre_scores_gemma":[0.3814603,0.0007583371,0.6108688,0.0004301145,0.0001050572,0.0005443177,0.0004530458,0.0001061745,0.005273958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0010649,"threshold_uncertainty_score":0.003375411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007887698028491562,"score_gpt":0.2038425731407568,"score_spread":0.1959548751122653,"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."}}