{"id":"W2512496922","doi":"10.1063/1.4961519","title":"The sensitivity of the electron transport within bulk zinc-blende gallium nitride to variations in the crystal temperature, the doping concentration, and the non-parabolicity coefficient associated with the lowest energy conduction band valley","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Condensed matter physics; Gallium nitride; Doping; Gallium; Crystal (programming language); Gallium arsenide; Thermal conduction; Semiconductor; Electron; Wide-bandgap semiconductor; Monte Carlo method; Nitride; Materials science; Physics; Nanotechnology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001792118,0.0001790485,0.0002677206,0.000009924427,0.0005917881,0.0001198343,0.000297684,0.00003798318,0.000003050366],"category_scores_gemma":[0.00001462255,0.00005365624,0.000101743,0.0002697094,0.0002698197,0.00009194348,0.00001871759,0.0002984848,2.111369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003998144,"about_ca_system_score_gemma":0.0002311097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003161748,"about_ca_topic_score_gemma":0.0003224046,"domain_scores_codex":[0.9984863,0.0003564166,0.0004149373,0.0001337258,0.0003833619,0.0002251903],"domain_scores_gemma":[0.9978987,0.0008379538,0.0007205448,0.0002732368,0.0002363849,0.00003316677],"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":[0.0007461543,0.0002380294,0.002094753,0.000008926928,0.0004366681,7.818084e-7,0.007094323,0.03333639,0.8497092,0.1057596,0.0003986323,0.000176536],"study_design_scores_gemma":[0.007707386,0.0002795241,0.05073701,0.0003478436,0.0008868026,0.00002259277,0.006032078,0.001797811,0.9125026,0.01692414,0.002193214,0.0005690249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942855,0.00002198499,0.002559809,0.002231904,0.0001732268,0.000496812,0.00004418577,0.000003088075,0.000183504],"genre_scores_gemma":[0.9991561,0.00001678515,0.000006346805,0.0003631617,0.0003950883,0.00002546684,0.000005416095,0.00001309722,0.00001850551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08883543,"threshold_uncertainty_score":0.4551616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005528871666423445,"score_gpt":0.2026215052533757,"score_spread":0.1970926335869522,"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."}}