{"id":"W2148050420","doi":"10.1109/nano.2007.4601343","title":"Multi-mode phonon controlled field emission from carbon nanotubes: Modeling and experiments","year":2007,"lang":"en","type":"article","venue":"","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Phonon; Field electron emission; Carbon nanotube; Materials science; Substrate (aquarium); Electric field; Diode; Field (mathematics); Dispersion (optics); Optoelectronics; Voltage; Biasing; Mode (computer interface); Condensed matter physics; Nanotechnology; Optics; Physics; Computer science; Electrical engineering; Engineering; Electron","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":[0.0003494569,0.0005319329,0.000483211,0.0002034844,0.0003430837,0.0003326388,0.0009919566,0.0008620298,0.0009602819],"category_scores_gemma":[0.0003698635,0.0002305023,0.0002691533,0.0002853778,0.0004784801,0.0006215673,0.0002375517,0.0003596245,0.0001583399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478603,"about_ca_system_score_gemma":0.0002494346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953358,"about_ca_topic_score_gemma":0.001100176,"domain_scores_codex":[0.9998307,0.00002263774,0.000005729463,0.00003905219,0.00007837841,0.00002342762],"domain_scores_gemma":[0.9997366,0.0001457245,0.00003207244,0.00003152411,0.0000361821,0.00001780255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008281018,0.0007037992,0.004267081,0.0005030255,0.00003795421,0.000667005,0.0006061721,0.302985,0.671555,0.006858952,0.0005302892,0.01045776],"study_design_scores_gemma":[0.00008311648,0.0003913933,0.001232573,0.00001478491,0.00001036223,0.00009055793,0.00003775549,0.7882591,0.2082144,0.000896642,0.0007353519,0.00003398106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849145,0.0002718678,0.01162424,0.0001174198,0.00001082835,0.00005125765,0.0001963882,0.000169881,0.002643681],"genre_scores_gemma":[0.9924237,0.0002118275,0.006416419,0.000007197378,0.000005518232,0.00005385945,0.00006562653,0.00001529487,0.0008005855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001953358,"threshold_uncertainty_score":0.003883958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033861572547476,"score_gpt":0.3003151271009596,"score_spread":0.2799765113754849,"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."}}