{"id":"W2970166281","doi":"10.1088/1361-6463/ab3f78","title":"Vacancy-assisted core transformation and mobility modulation of a-type edge dislocations in wurtzite GaN","year":2019,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China Scholarship Council; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Wurtzite crystal structure; Enhanced Data Rates for GSM Evolution; Vacancy defect; Core (optical fiber); Materials science; Modulation (music); Transformation (genetics); Dislocation; Crystallography; Condensed matter physics; Chemistry; Physics; Hexagonal crystal system; Composite material; Telecommunications; Computer science","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":[0.0002183017,0.0001581715,0.0004019616,0.00004370155,0.00003474459,0.00002720338,0.0001173117,0.00004114485,0.00003609271],"category_scores_gemma":[0.000001683946,0.0001462427,0.00009327409,0.0002791446,0.00003852958,0.000333435,0.00001418008,0.00017158,0.000004812432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004247672,"about_ca_system_score_gemma":0.0001209047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005795187,"about_ca_topic_score_gemma":0.000002294099,"domain_scores_codex":[0.9988903,0.00002560871,0.0005713992,0.0001336632,0.0002325263,0.0001464688],"domain_scores_gemma":[0.9988337,0.00005664098,0.0006096989,0.0001755154,0.0002696505,0.00005484564],"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":[0.00009354614,0.0005033036,0.01882362,0.0001742317,0.00007600347,8.668211e-8,0.001488896,0.010786,0.8909458,0.05782217,0.00001561046,0.01927074],"study_design_scores_gemma":[0.005644371,0.0003863185,0.2382536,0.0003833073,0.0002857802,0.000002070824,0.002225685,0.01616528,0.5050166,0.230608,0.0002468005,0.0007821241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994847,0.0000118039,0.003137867,0.0000130432,0.0001973891,0.0003073317,0.00004103137,0.000004954538,0.001439572],"genre_scores_gemma":[0.9994169,0.000005231258,0.0001957495,0.00001102305,0.0002850333,0.000005457026,0.00005544749,0.00001700521,0.000008105614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3859291,"threshold_uncertainty_score":0.5963603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155586371202441,"score_gpt":0.2582558707208858,"score_spread":0.2367000070088615,"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."}}