{"id":"W2933576842","doi":"10.11159/icnnfc19.102","title":"Investigation and Mathematical Modelling for Different Scattering Mechanisms in AlGaN/GaN HEMT","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Recent Advances in Nanotechnology","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bangladesh University of Engineering and Technology","keywords":"High-electron-mobility transistor; Optoelectronics; Wide-bandgap semiconductor; Scattering; Gallium nitride; Materials science; Scattering parameters; Computer science; Electronic engineering; Physics; Electrical engineering; Optics; Transistor; Engineering; Nanotechnology; Layer (electronics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005735786,0.0005156617,0.0004000228,0.0005525155,0.0004270933,0.0008377479,0.0007157664,0.0009827956,0.0009038239],"category_scores_gemma":[0.001048222,0.0003593012,0.001030317,0.0003013636,0.0007284331,0.0009513806,0.0003774592,0.0007251204,0.0001901026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009375423,"about_ca_system_score_gemma":0.0007361918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279247,"about_ca_topic_score_gemma":0.002251817,"domain_scores_codex":[0.9997887,0.00006109259,0.000007923197,0.00002464711,0.00007981301,0.00003785971],"domain_scores_gemma":[0.9996465,0.0001808597,0.00006180412,0.00002394027,0.00007334117,0.00001354542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004056166,0.00008698637,0.001498512,0.0002229503,0.00006149403,0.0005835203,0.0002796727,0.7432227,0.04216521,0.2049202,0.0007365183,0.00618173],"study_design_scores_gemma":[0.0000036419,0.00001163642,0.0001920344,0.000006346489,0.000004875865,0.00007059742,0.00001489305,0.9909684,0.0009918649,0.00740704,0.0003215272,0.000007094078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2839368,0.004294731,0.6755763,0.00216621,0.0001597733,0.0001249201,0.0002274937,0.0002121812,0.03330156],"genre_scores_gemma":[0.9445784,0.002062343,0.03829575,0.0001745478,0.0001032337,0.000162907,0.0001112811,0.00007573428,0.01443573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003279247,"threshold_uncertainty_score":0.00680232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458049141658348,"score_gpt":0.2458536548267714,"score_spread":0.2312731634101879,"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."}}