{"id":"W2113232549","doi":"10.1109/iembs.2007.4353796","title":"Integrated Microfluidic Systems for Sample Preparation and Detection of Respiratory Pathogen Bordetella pertussis","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electroporation; Dielectrophoresis; Bordetella pertussis; Pertussis toxin; Microfluidics; Lysis; Pathogen; Materials science; Microbiology; Chemistry; Molecular biology; Chromatography; Nanotechnology; Biology; Bacteria; Biochemistry; Gene; Genetics","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":[0.000334936,0.0001385668,0.000183215,0.0001496473,0.00006146205,0.00005015905,0.0000875493,0.000188388,0.000001667941],"category_scores_gemma":[0.0002048172,0.0001252768,0.00002792112,0.0001693072,0.00008695532,0.0001013657,0.00002255185,0.00008797204,8.562279e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004784116,"about_ca_system_score_gemma":0.00002056981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002891878,"about_ca_topic_score_gemma":0.000004460511,"domain_scores_codex":[0.9992617,0.000002630944,0.0002800947,0.0001846562,0.00007365247,0.0001972174],"domain_scores_gemma":[0.9994662,0.00005508832,0.00006615512,0.00007277219,0.0003029438,0.00003683917],"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":[0.00003702824,0.000005377661,0.0007939239,0.000233016,0.00001199819,1.794314e-7,0.0003642777,3.136842e-7,0.976457,0.0002856024,0.00100541,0.02080586],"study_design_scores_gemma":[0.0001954661,0.0001826634,0.0003356332,0.0001126653,0.00002324881,0.00001094114,0.001528916,0.005043652,0.9571364,0.000230636,0.03502697,0.0001728413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612063,0.008153615,0.1295809,0.000009521386,0.0001316359,0.0003491613,0.00002650531,0.0003833479,0.0001590453],"genre_scores_gemma":[0.9974604,0.00164928,0.0007909167,0.000007573735,0.00003397209,0.00001811757,0.000006404531,0.00001744162,0.00001590003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362541,"threshold_uncertainty_score":0.5108638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464447562378974,"score_gpt":0.2390412605690888,"score_spread":0.214396784945299,"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."}}