{"id":"W2136076469","doi":"10.1109/ims3tw.2008.4581598","title":"A hybrid bacteria and microparticle detection platform on a CMOS chip: Design, simulation and testing considerations","year":2008,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"Canada Research Chairs; National Science Council; CMC Microsystems","keywords":"CMOS; Microelectrode; Microsystem; Microparticle; Materials science; Lab-on-a-chip; Microfluidics; Chip; Deep reactive-ion etching; Microelectronics; Electronic engineering; Nanotechnology; Etching (microfabrication); Optoelectronics; Electrode; Engineering; Reactive-ion etching; Electrical engineering; Chemistry","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":[0.00004904048,0.00008781415,0.00007675674,0.00005298257,0.0001767637,0.00003375546,0.0000124891,0.00004220967,0.000007636249],"category_scores_gemma":[0.0001238097,0.00007803466,0.000007363454,0.00005244289,0.00005713212,0.00009198222,0.00001466022,0.0000654103,0.000005635904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000178473,"about_ca_system_score_gemma":0.00000536673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236962,"about_ca_topic_score_gemma":0.000003647799,"domain_scores_codex":[0.9996235,0.000006412969,0.000111599,0.0001095964,0.00003463038,0.0001142035],"domain_scores_gemma":[0.9996986,0.0001650343,0.00001335698,0.00007625532,0.00002078713,0.00002599583],"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":[0.000006934186,0.000006581651,0.0002921941,0.000007650704,0.000006299416,0.000007856706,0.00007563551,0.003791649,0.9870817,0.00002909073,0.0001825509,0.008511823],"study_design_scores_gemma":[0.0001644306,0.00006271233,0.003441181,0.00001044184,0.000004872271,0.000180204,0.00002084596,0.3048543,0.6907097,0.0004116392,0.00004941408,0.00009028689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435164,0.00009616851,0.05550171,0.00003059856,0.0000327593,0.0001215031,0.000001484528,0.0005952258,0.000104172],"genre_scores_gemma":[0.9846327,0.00003496647,0.01525783,0.00003475609,0.00001513387,0.000002887004,7.83391e-7,0.00001008309,0.00001081239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3010627,"threshold_uncertainty_score":0.3182161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06567679287841816,"score_gpt":0.2222465232777686,"score_spread":0.1565697303993504,"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."}}