{"id":"W1985667342","doi":"10.1007/s11664-003-0153-8","title":"Steady-state electron transport in the III–V nitride semiconductors: A sensitivity analysis","year":2003,"lang":"en","type":"article","venue":"Journal of Electronic Materials","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Multidisciplinary University Research Initiative","keywords":"Saturation velocity; Drift velocity; Velocity saturation; Condensed matter physics; Electron; Electric field; Thermal conduction; Solid-state physics; Saturation (graph theory); Effective mass (spring–mass system); Conduction band; Quasi Fermi level; Steady state (chemistry); Semiconductor; Chemistry; Band gap; Physics; Direct and indirect band gaps; Voltage; Optoelectronics","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":[0.00125871,0.0005396432,0.0005293634,0.0004633766,0.0003551353,0.0007461374,0.0005816511,0.000763245,0.001051505],"category_scores_gemma":[0.004004089,0.0003783927,0.0009250913,0.0002601014,0.0005635701,0.0009917151,0.0005160863,0.0005729879,0.0001310349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772403,"about_ca_system_score_gemma":0.0004347362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005690864,"about_ca_topic_score_gemma":0.002770448,"domain_scores_codex":[0.9996853,0.0001134317,0.00001132594,0.00006949948,0.00006343286,0.00005703932],"domain_scores_gemma":[0.9965391,0.002970125,0.00009709489,0.0001594835,0.0002012421,0.00003301957],"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":[0.0003837308,0.0001263557,0.003353894,0.0001379044,0.0001571526,0.0002569305,0.0001024504,0.9330655,0.04565185,0.008621091,0.0005068633,0.007636228],"study_design_scores_gemma":[0.000005128506,0.00005652981,0.001519031,0.000006737463,0.0000298768,0.00006925477,0.00001717735,0.9879259,0.008161262,0.002071909,0.0001218329,0.00001544232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968036,0.0008518612,0.09413248,0.0006525787,0.0000475601,0.00007831462,0.0003679721,0.0003894262,0.006676297],"genre_scores_gemma":[0.9979079,0.00011343,0.001220659,0.0000325708,0.000006465785,0.0000107463,0.0000646183,0.00001427306,0.0006294664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005690864,"threshold_uncertainty_score":0.01285976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0092104134224139,"score_gpt":0.2448673494522208,"score_spread":0.2356569360298069,"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."}}