{"id":"W1450319353","doi":"10.1016/j.measurement.2015.06.017","title":"Electromagnetically controlled microfluidic chip for DNA extraction","year":2015,"lang":"en","type":"article","venue":"Measurement","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Microfluidics; Materials science; Extraction (chemistry); Buffer (optical fiber); Chip; Chromatography; DNA extraction; Microfluidic chip; Elution; Solid phase extraction; Cartridge; Layer (electronics); DNA; Nanotechnology; Chemistry; Engineering; Polymerase chain reaction","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005863836,0.0001522323,0.0002169935,0.000054911,0.00006112109,0.00003085747,0.0001129218,0.00006612146,0.0000374415],"category_scores_gemma":[0.00006010755,0.0001440938,0.00009235494,0.0001009584,0.00001601358,0.00003764665,0.000005549276,0.00008258972,0.00006613958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002834513,"about_ca_system_score_gemma":0.00007925738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002949909,"about_ca_topic_score_gemma":0.000002239553,"domain_scores_codex":[0.9989031,0.00002532402,0.0002636723,0.0001696259,0.0003226973,0.0003155629],"domain_scores_gemma":[0.9993796,0.00001937447,0.00002631945,0.0002087445,0.000225046,0.000140936],"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":[0.00008558228,0.00003352047,0.000005809906,0.00001142903,0.00004596711,2.620352e-7,0.00002331978,0.000004242788,0.720165,0.0004868171,0.2781543,0.0009837645],"study_design_scores_gemma":[0.003202755,0.0002146282,0.0001406164,0.00000762409,0.00007568839,0.000007552195,0.0000211501,0.0003749864,0.5589632,0.0007560517,0.4360464,0.000189262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2463809,0.4519756,0.2791942,0.001029509,0.0007768231,0.004007263,0.00001698064,0.0009668474,0.0156519],"genre_scores_gemma":[0.9872299,0.01089979,0.0003247341,0.0001240497,0.0002387153,0.0009171437,0.00001948346,0.00005134895,0.0001948076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.740849,"threshold_uncertainty_score":0.5875973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298116610113822,"score_gpt":0.2316986900791136,"score_spread":0.2018870290677314,"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."}}