{"id":"W2581022095","doi":"10.1109/biocas.2016.7833715","title":"Integrated 0.35 pm CMOS capacitance sensor with atto-farad sensitivity for single cell analysis","year":2016,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"CMOS; Capacitance; Ring oscillator; Lab-on-a-chip; Materials science; Capacitive sensing; Microfluidics; Chip; Sensitivity (control systems); Optoelectronics; Microelectrode; Electrical engineering; Electronic engineering; Nanotechnology; Engineering; Chemistry; Electrode","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":[0.0005633933,0.0004984458,0.0007702627,0.0005426263,0.0003811739,0.0005053646,0.001055935,0.0008763031,0.001458166],"category_scores_gemma":[0.0005014679,0.0004329939,0.0003008159,0.0005416904,0.0002661257,0.0006267725,0.0003894657,0.0005069734,0.0005527289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007329813,"about_ca_system_score_gemma":0.0006459942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009791935,"about_ca_topic_score_gemma":0.003742614,"domain_scores_codex":[0.9994276,0.00003139396,0.00003026508,0.0001943549,0.0002546783,0.00006178269],"domain_scores_gemma":[0.9996506,0.0001068632,0.00004884622,0.00002605375,0.0001286716,0.00003892224],"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":[0.00002560589,0.00001584782,0.0001680938,0.00004122436,0.000005027224,0.00002295737,0.00001351382,0.0001336493,0.9951557,0.0001558281,0.00009612393,0.004166457],"study_design_scores_gemma":[0.00001866519,0.0002389311,0.002105042,0.000005642097,0.00003772591,0.0003739263,0.00002866354,0.006830166,0.9867468,0.0001537563,0.003432213,0.00002838953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4507067,0.00445099,0.5356352,0.0003861699,0.0003882719,0.0003832692,0.001456955,0.002473236,0.004119313],"genre_scores_gemma":[0.536108,0.001378451,0.4566031,0.0002702996,0.00005960201,0.000295133,0.0005273372,0.00006706009,0.004690928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001458166,"threshold_uncertainty_score":0.005318224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301971054156398,"score_gpt":0.1800174149487648,"score_spread":0.1669977044072009,"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."}}