{"id":"W2050022442","doi":"10.1109/iembs.2010.5626464","title":"CMOS/microfluidic Lab-on-chip for cells-based diagnostic tools","year":2010,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CMC Microsystems","keywords":"Microfluidics; CMOS; Lab-on-a-chip; Capacitive sensing; Chip; Sensitivity (control systems); Fabrication; Electronic circuit; Materials science; Voltage; Electrode; Computer science; Nanotechnology; Computer hardware; Electronic engineering; Optoelectronics; Electrical engineering; 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":[0.0001288934,0.0002183697,0.0001879926,0.0001019693,0.00008080812,0.00006455566,0.0002512015,0.0002491849,0.0001278394],"category_scores_gemma":[0.0004401573,0.0001819817,0.00009358731,0.0001282527,0.00008740922,0.00005037475,0.00002909184,0.0002790497,0.0002256431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002271999,"about_ca_system_score_gemma":0.00002226707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009116781,"about_ca_topic_score_gemma":0.000007347518,"domain_scores_codex":[0.9991062,0.000005827684,0.0001942044,0.0002301875,0.00009041027,0.0003732055],"domain_scores_gemma":[0.9985116,0.0009203677,0.00001836163,0.00045167,0.00003825978,0.00005975613],"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":[0.000005848561,0.00002278904,0.00005823221,0.00003742861,0.00000920353,0.000003973016,0.0000067847,0.00002168332,0.7569938,0.0008405941,0.2292672,0.01273254],"study_design_scores_gemma":[0.0003271532,0.00006772879,0.0001085527,0.00001914595,0.00001277919,0.00000257489,0.00001771565,0.0008535497,0.8278601,0.0003176903,0.1701835,0.0002294886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378632,0.001035321,0.04744589,0.001024234,0.003186401,0.0007930926,0.0001246825,0.0044493,0.004077865],"genre_scores_gemma":[0.9912469,0.0002721935,0.007367669,0.0004440372,0.000138578,0.00003912249,0.00002634206,0.000054746,0.0004104413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07086635,"threshold_uncertainty_score":0.7420996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482641636481857,"score_gpt":0.2134700179258895,"score_spread":0.198643601561071,"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."}}