{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161523,0.0002917553,0.0002870885,0.0001437036,0.0001449798,0.0003632895,0.0005777847,0.0004567222,0.001973802],"category_scores_gemma":[0.0003154309,0.0001693986,0.0002513396,0.0001010526,0.0001620497,0.0002877119,0.0001561795,0.0001395645,0.0002779138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003770598,"about_ca_system_score_gemma":0.0004782417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929834,"about_ca_topic_score_gemma":0.001645156,"domain_scores_codex":[0.9998552,0.00002157396,0.000005308101,0.00002131065,0.0000819544,0.0000146106],"domain_scores_gemma":[0.9998862,0.00004675243,0.00001494068,0.000009594415,0.00003571833,0.000006815695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003807868,0.000139603,0.003775231,0.0005569919,0.0001449088,0.0005785575,0.0001323569,0.6314608,0.2833621,0.01170845,0.001257848,0.06650237],"study_design_scores_gemma":[0.00007493656,0.0005387671,0.001056876,0.00001551625,0.00005927439,0.000212143,0.00002420601,0.9402667,0.05133714,0.0009281925,0.005462938,0.00002335469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3141434,0.0009327744,0.6695175,0.0003244818,0.00009137813,0.0003098682,0.0003107669,0.001580562,0.01278928],"genre_scores_gemma":[0.8015288,0.0004139302,0.1934749,0.00006790993,0.0000180517,0.0002917494,0.00009669388,0.00003770961,0.004070178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001973802,"threshold_uncertainty_score":0.006603062,"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."}}