{"id":"W2057801798","doi":"10.1007/s11671-009-9522-4","title":"Finite-Element Modelling of Biotransistors","year":2010,"lang":"en","type":"article","venue":"Nanoscale Research Letters","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Pohang University of Science and Technology","keywords":"Finite element method; Microfluidics; SIGNAL (programming language); Chip; Process (computing); Nanochemistry; Nanotechnology; Channel (broadcasting); Biosensor; Computer science; Biological system; Linker; Materials science; Electronic engineering; Engineering; Biology","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":[0.0006908648,0.0001060356,0.0001319092,0.0001604301,0.0001122002,0.0000126915,0.0002294311,0.0001383199,0.000005911008],"category_scores_gemma":[0.0001014364,0.00009264677,0.0001181597,0.0002393332,0.0003566169,0.000003075507,0.00007595547,0.0003145851,0.000002858827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114291,"about_ca_system_score_gemma":0.00003827117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004884008,"about_ca_topic_score_gemma":0.00004535242,"domain_scores_codex":[0.9986746,0.00008840775,0.0002080411,0.000316311,0.0003759379,0.0003367291],"domain_scores_gemma":[0.999219,0.00004160383,0.0000483166,0.0004243001,0.0001849673,0.00008182427],"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":[0.00003732236,0.0000504486,0.000492816,0.00001371465,0.00002553311,0.000002230846,0.00001311081,0.0002194572,0.9957895,0.00003156719,0.001822114,0.001502215],"study_design_scores_gemma":[0.0001343184,0.0001124942,0.00004816998,0.00001090445,0.000006952288,0.000001698773,0.00001598347,0.001442128,0.9770544,0.00003836616,0.0210243,0.0001102432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533724,0.00006507475,0.04472262,0.001186914,0.00006971315,0.0001446568,0.00001726813,0.00002019297,0.0004011364],"genre_scores_gemma":[0.9816143,0.000124116,0.01772465,0.0001679898,0.0001446377,0.000008180006,0.00003971867,0.00001625421,0.0001601782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02824184,"threshold_uncertainty_score":0.3778026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872102865887904,"score_gpt":0.3294635351556243,"score_spread":0.2907425064967452,"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."}}