{"id":"W2786897981","doi":"10.1149/ma2005-02/9/411","title":"Analysis of Field-Effect from Biological Macromolecules on the FloatingGates of MOS Transistors","year":2006,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Macromolecule; Field-effect transistor; Transistor; Field (mathematics); Materials science; Nanotechnology; Optoelectronics; Engineering physics; Electrical engineering; Chemistry; Engineering; Mathematics; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001009289,0.0001848686,0.0002062035,0.0001799983,0.0001886357,0.0002453812,0.0003686861,0.0003035525,0.002248424],"category_scores_gemma":[0.0002652844,0.00007770894,0.0001880524,0.0001460051,0.0003073959,0.0002661755,0.0001081446,0.000241818,0.0002221824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574609,"about_ca_system_score_gemma":0.0001331864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065251,"about_ca_topic_score_gemma":0.001112285,"domain_scores_codex":[0.9999664,0.000002303769,7.531983e-7,0.000005630082,0.00001638122,0.000008653024],"domain_scores_gemma":[0.9998907,0.00005785261,0.00001277309,0.00001161169,0.00001562322,0.00001142806],"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":[0.0001794473,0.00002185513,0.0006168585,0.00009284386,0.0000240824,0.0002305472,0.00007480875,0.003630124,0.9896252,0.001679012,0.0002529425,0.003572307],"study_design_scores_gemma":[0.00003341774,0.0004440597,0.01324377,0.00002434594,0.00005753921,0.0003846757,0.0001121771,0.08094659,0.897993,0.002635902,0.004101529,0.00002299781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832035,0.001107956,0.01121934,0.0001793553,0.00004245247,0.00001958974,0.0002604264,0.0001584072,0.003808954],"genre_scores_gemma":[0.9966606,0.0003748598,0.001156962,0.00001673757,0.000008006317,0.00000649906,0.0000909346,0.00001886725,0.001666691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002248424,"threshold_uncertainty_score":0.007521749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263284792054518,"score_gpt":0.1921072423200343,"score_spread":0.1868439575279797,"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."}}