{"id":"W2808516315","doi":"10.1109/jsen.2018.2846254","title":"Low-Voltage Gas Field Ionization Tunneling Sensor Using Silicon Nanostructures","year":2018,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Silicon; Ionization; Nanowire; Wafer; Materials science; Quantum tunnelling; Torr; Analytical Chemistry (journal); Nanostructure; Optoelectronics; Nanotechnology; Chemistry; Physics; Ion; Organic chemistry","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":[0.0001740657,0.0003039954,0.0003653257,0.0001629998,0.0001538452,0.0002923041,0.0008477963,0.0006881566,0.0005196285],"category_scores_gemma":[0.0003161851,0.0002484278,0.0002603485,0.0001491223,0.000202933,0.0007087421,0.0002551334,0.0002635542,0.0003000259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344472,"about_ca_system_score_gemma":0.0002449151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277801,"about_ca_topic_score_gemma":0.0005198985,"domain_scores_codex":[0.9997328,0.0000156926,0.00001465401,0.0000822305,0.0001382148,0.00001636473],"domain_scores_gemma":[0.9997286,0.00006730319,0.0000637356,0.00002577726,0.00009291056,0.00002156245],"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":[0.00002063267,0.000008832528,0.0002607074,0.00005598863,0.000005984223,0.00005358786,0.00001523101,0.0001737371,0.996769,0.0001032902,0.00005419069,0.002478977],"study_design_scores_gemma":[0.00001062077,0.0002926142,0.001729317,0.00000681399,0.00002400449,0.0004529209,0.00001681024,0.007662951,0.9884934,0.00006242535,0.001233637,0.00001443328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9124704,0.002471304,0.08050351,0.0003041594,0.0002118696,0.0001066358,0.0003179086,0.0005250233,0.003089146],"genre_scores_gemma":[0.9199209,0.0006413971,0.07683647,0.0001453909,0.00004061938,0.00005526295,0.0001982999,0.00003249944,0.00212926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008477963,"threshold_uncertainty_score":0.002499342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186640969377278,"score_gpt":0.2368734876270602,"score_spread":0.2250070779332874,"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."}}