{"id":"W1999338364","doi":"10.1109/biocas.2007.4463322","title":"High-Voltage CMOS Controller for Microfluidics","year":2007,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Microfluidics; CMOS; Voltage; Chip; Controller (irrigation); Electronic engineering; High voltage; Lab-on-a-chip; Electrical engineering; Materials science; Computer science; Optoelectronics; Engineering; 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":[0.0002730773,0.0005809998,0.0003256077,0.0005338437,0.000483172,0.0008283009,0.001543061,0.0005638588,0.0159182],"category_scores_gemma":[0.0006208893,0.0001979542,0.0001754111,0.0003320229,0.0002211491,0.000474876,0.0004644076,0.0006462981,0.005643249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006588515,"about_ca_system_score_gemma":0.0006358023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006034329,"about_ca_topic_score_gemma":0.0009645784,"domain_scores_codex":[0.9994111,0.00004160685,0.00003059797,0.000113084,0.0003506826,0.00005292531],"domain_scores_gemma":[0.9997434,0.00004611729,0.00002366035,0.00002893345,0.0001395116,0.00001824283],"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":[0.0001864142,0.00008200341,0.0004485121,0.000479327,0.00002687211,0.0003001958,0.0001379114,0.001635005,0.6905217,0.02788467,0.05482724,0.2234702],"study_design_scores_gemma":[0.0000939672,0.0003384013,0.0009000142,0.00005892679,0.00003595896,0.00101261,0.00003027858,0.02816455,0.5873839,0.00328324,0.378626,0.00007194155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01737276,0.004097175,0.8747725,0.001097139,0.002109641,0.0007438185,0.001215164,0.02101882,0.07757287],"genre_scores_gemma":[0.3665697,0.002003361,0.5372911,0.001934601,0.0007119826,0.001013551,0.001554737,0.0006749491,0.08824599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0159182,"threshold_uncertainty_score":0.05325168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005685995608732409,"score_gpt":0.2054966379679001,"score_spread":0.1998106423591677,"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."}}