{"id":"W1992934171","doi":"10.1007/s10854-012-0782-x","title":"The sensitivity of the steady-state and transient electron transport within bulk wurtzite zinc oxide to variations in the crystal temperature, the doping concentration, and the non-parabolicity coefficient","year":2012,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"ZnO doping and properties","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Windsor","funders":"","keywords":"Wurtzite crystal structure; Zinc; Gallium nitride; Doping; Crystal (programming language); Monte Carlo method; Materials science; Condensed matter physics; Steady state (chemistry); Electron; Chemistry; Analytical Chemistry (journal); Nanotechnology; Physics; Optoelectronics; Physical chemistry; Metallurgy","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":[0.0002991323,0.0001586553,0.0002608802,0.0002418516,0.0003142863,0.0005755468,0.0004106488,0.0003308497,0.001032418],"category_scores_gemma":[0.001117834,0.0001820377,0.0002103908,0.0002010145,0.0006140844,0.0004957963,0.0002174579,0.0004196049,0.0001157338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007586534,"about_ca_system_score_gemma":0.0002421571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004207395,"about_ca_topic_score_gemma":0.002236333,"domain_scores_codex":[0.9998949,0.00001092551,0.000005175474,0.00003258552,0.00002438063,0.00003204019],"domain_scores_gemma":[0.999375,0.0004122652,0.00005146701,0.00004275478,0.00008536236,0.00003307061],"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":[0.001909572,0.0001356901,0.007429179,0.00008914214,0.00005665998,0.000284752,0.000364859,0.01119786,0.9712606,0.001402095,0.0002264584,0.005643061],"study_design_scores_gemma":[0.00008045046,0.0005594614,0.03708053,0.00001963564,0.00007008473,0.0002683053,0.0003332975,0.1096961,0.8503863,0.0009198493,0.0005232089,0.00006280444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985853,0.00007947169,0.0007997588,0.00003251269,0.000005990156,0.000003904112,0.00009275386,0.00003872443,0.0003614875],"genre_scores_gemma":[0.9994993,0.00003551396,0.000108239,0.000005759223,0.000002252099,0.000002874584,0.00007343492,0.000007456465,0.0002651193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004207395,"threshold_uncertainty_score":0.00836581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007739410345540528,"score_gpt":0.2360241079556864,"score_spread":0.2282846976101459,"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."}}