{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005115316,0.0003665856,0.000302003,0.000416147,0.0003819874,0.0005303214,0.0007554917,0.0005287003,0.001211138],"category_scores_gemma":[0.0006232032,0.0002858521,0.0001734809,0.000338078,0.0003984823,0.0004541099,0.0004264099,0.000455834,0.000717381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006247798,"about_ca_system_score_gemma":0.000529921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003292902,"about_ca_topic_score_gemma":0.0009529468,"domain_scores_codex":[0.9994531,0.00009586762,0.000025697,0.0001511746,0.0002207854,0.00005331707],"domain_scores_gemma":[0.9996409,0.0001256227,0.00008040003,0.00003081497,0.00009110395,0.00003099942],"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":[0.00006238426,0.00003227843,0.0001349259,0.00006679521,0.000006840181,0.00003945351,0.00002081165,0.0002124116,0.9926506,0.0009315994,0.0004550451,0.005386804],"study_design_scores_gemma":[0.000009045283,0.00005153575,0.0004535519,0.000003875331,0.000007083412,0.000070796,0.000006795686,0.002421153,0.9924989,0.00007200338,0.004393888,0.00001131825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5244938,0.005895534,0.4512374,0.000978649,0.001025468,0.0002967774,0.0008971022,0.001951487,0.01322391],"genre_scores_gemma":[0.8111951,0.001603416,0.1727166,0.000585455,0.0001615824,0.0002686625,0.0004403101,0.00009891215,0.01293002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211138,"threshold_uncertainty_score":0.004533112,"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."}}