{"id":"W2937534288","doi":"10.1109/enbeng.2019.8692504","title":"Capacitive Detection of Insulin Antibody enhanced by AC Electrothermal mixing","year":2019,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Capacitive sensing; Electrokinetic phenomena; Miniaturization; Biosensor; Microsystem; Materials science; Nanotechnology; Computer science","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":[0.0003924243,0.0004152445,0.0002123898,0.0002769225,0.0001542594,0.0004929305,0.0005338038,0.0005184897,0.0009901461],"category_scores_gemma":[0.0006124536,0.0001911685,0.0002035612,0.0003558848,0.0003183107,0.0003756343,0.0004080001,0.0005565847,0.0003282962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016493,"about_ca_system_score_gemma":0.0001213557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002329663,"about_ca_topic_score_gemma":0.000312945,"domain_scores_codex":[0.9995091,0.00008871048,0.00002228688,0.000131555,0.0001783951,0.00006994306],"domain_scores_gemma":[0.9998203,0.00007612674,0.00003168614,0.00001537004,0.00004220065,0.00001436479],"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":[0.00003139204,0.00001000232,0.00003913515,0.00002622468,0.000001664357,0.0000181455,0.00001512455,0.00003639277,0.9978189,0.0001172108,0.00004169468,0.001843999],"study_design_scores_gemma":[0.000007285822,0.00006649921,0.0002835183,0.000002113681,0.000004596947,0.00005737688,0.000008711775,0.001929158,0.9965366,0.00003925882,0.001059921,0.000004945368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054466,0.002732618,0.08334874,0.0003648587,0.0003861306,0.0001007665,0.0001792235,0.0004564903,0.006984524],"genre_scores_gemma":[0.9663053,0.001347513,0.02879199,0.0002116817,0.0001202272,0.00008782915,0.0001110567,0.00002670053,0.002997654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009901461,"threshold_uncertainty_score":0.003312409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003135855284944657,"score_gpt":0.1893478055245073,"score_spread":0.1862119502395627,"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."}}