{"id":"W2187418979","doi":"10.1039/c5nr06841j","title":"Nanogenerators based on vertically aligned InN nanowires","year":2015,"lang":"en","type":"article","venue":"Nanoscale","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Institute for Nanotechnology; University of Waterloo","funders":"","keywords":"Nanowire; Materials science; Piezoelectricity; Nanotechnology; Nanogenerator; Optoelectronics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000172045,0.000191338,0.000224243,0.00005749776,0.00007504445,0.00007580711,0.0001840756,0.00005649263,0.000698987],"category_scores_gemma":[0.00001578534,0.0001601146,0.00008988548,0.0001330906,0.00004205629,0.00007888681,0.00003019412,0.00004861857,0.0003202679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003090121,"about_ca_system_score_gemma":0.0001606249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000141529,"about_ca_topic_score_gemma":0.000004185464,"domain_scores_codex":[0.9988294,0.0000750578,0.0002336064,0.0002884874,0.0002647612,0.0003087],"domain_scores_gemma":[0.9992276,0.00004336009,0.00006424523,0.0003306265,0.0000968034,0.0002373874],"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":[0.0001278343,0.0004016179,0.02089464,0.0000132887,0.00004267376,0.000006662303,0.0001510018,0.0002208998,0.8901957,0.004989181,0.08090544,0.002051025],"study_design_scores_gemma":[0.001489322,0.0002504808,0.0004961436,0.00003729903,0.00002847507,2.896869e-7,0.00010113,0.0007854394,0.8905564,0.000928163,0.1049822,0.0003446855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871098,0.00002466173,0.000283528,0.000632919,0.0009196319,0.0001714006,0.00006303506,0.0000681742,0.01072688],"genre_scores_gemma":[0.9968237,2.813565e-7,0.0004373628,0.001823749,0.0002881743,0.00003306742,0.00006336797,0.0000293163,0.0005009702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02407672,"threshold_uncertainty_score":0.7653418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000660300065116,"score_gpt":0.2500216202229137,"score_spread":0.2300150172222626,"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."}}