{"id":"W2118653592","doi":"10.1109/cicc.2007.4405705","title":"A 0.18 μm CMOS Capacitive Detection Lab-on-Chip","year":2007,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Taiwan Semiconductor Manufacturing Company; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Capacitive sensing; CMOS; Microfluidics; Chip; Detector; Interface (matter); Fabrication; Lab-on-a-chip; Computer science; Electronic engineering; Electrical engineering; Engineering; Materials science; Nanotechnology","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":[0.0003793911,0.0004897462,0.0004378725,0.0004627515,0.0003309554,0.000810312,0.001838408,0.0006491662,0.01060552],"category_scores_gemma":[0.0008607149,0.0003146134,0.0002399054,0.0003387358,0.0002640787,0.0007867256,0.0003386666,0.0006619116,0.005084206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004992927,"about_ca_system_score_gemma":0.0006423744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008781265,"about_ca_topic_score_gemma":0.001714353,"domain_scores_codex":[0.9994136,0.000048018,0.00003286366,0.0001312172,0.0003173882,0.00005692042],"domain_scores_gemma":[0.9995408,0.0001130929,0.00005157392,0.00004743457,0.0001930903,0.00005396124],"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":[0.000163839,0.0001237923,0.0008391424,0.0004152383,0.0000370348,0.0001862508,0.0001059941,0.001086924,0.9097837,0.003811787,0.008214618,0.0752317],"study_design_scores_gemma":[0.0001095753,0.001312212,0.0016655,0.00003990361,0.0001121205,0.001316349,0.00005281995,0.02819051,0.8350278,0.000711391,0.1313726,0.00008932927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1326121,0.003102107,0.8014948,0.001741695,0.002434955,0.001263624,0.002425206,0.01321685,0.04170861],"genre_scores_gemma":[0.3646809,0.001149476,0.596069,0.001634871,0.0003240936,0.0006932426,0.0009027101,0.0003230194,0.03422267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01060552,"threshold_uncertainty_score":0.03547895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209696787987728,"score_gpt":0.2203028714123828,"score_spread":0.2082059035325055,"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."}}