{"id":"W2107036977","doi":"10.1109/nano.2007.4601152","title":"Working towards a sample preparation device with carbon nanotubes","year":2007,"lang":"en","type":"article","venue":"","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dielectrophoresis; Electroporation; Carbon nanotube; Microfabrication; Materials science; Nanotechnology; Electric field; Membrane; Voltage; Microfluidics; Optoelectronics; Chemistry; Fabrication; Electrical engineering; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559698,0.00008546251,0.00006754872,0.00002942467,0.00003894555,0.00001714503,0.00006703759,0.0000844341,0.00002178675],"category_scores_gemma":[0.00009448198,0.00007019437,0.00002116717,0.000109304,0.00002272039,0.000002019707,0.00003075692,0.00003946907,0.000001157939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001809985,"about_ca_system_score_gemma":0.00005071426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002047126,"about_ca_topic_score_gemma":0.0009046874,"domain_scores_codex":[0.9994182,0.00003520613,0.0001203593,0.000203505,0.00007328337,0.0001494703],"domain_scores_gemma":[0.9996477,0.00001776163,0.00004520908,0.000180446,0.00007228849,0.0000366397],"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":[0.0001634469,0.00001708934,0.00230996,0.000003624576,0.00001759949,5.493569e-7,0.00006303749,0.00003468998,0.9914315,0.0001768764,0.0001618762,0.005619777],"study_design_scores_gemma":[0.0001721634,0.0001360898,0.0008619057,0.000006996289,0.000006503346,0.000006797869,0.00006988669,0.00004094063,0.931671,0.00002487125,0.0668923,0.0001105252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8098061,0.00005014669,0.1724469,0.00004493363,0.00007306414,0.0001153642,6.205971e-7,0.00001845896,0.01744434],"genre_scores_gemma":[0.9013178,0.000006427294,0.0971494,0.0002815414,0.0001599908,0.000004637051,0.00003325057,0.00001217432,0.001034717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09151173,"threshold_uncertainty_score":0.2862443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645705114364773,"score_gpt":0.3223094368105474,"score_spread":0.2958523856668997,"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."}}