{"id":"W2168573457","doi":"10.1088/0957-4484/23/40/405706","title":"Characterizing defects and transport in Si nanowire devices using Kelvin probe force microscopy","year":2012,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Chemistry; Ryerson University; National Science Foundation","keywords":"Kelvin probe force microscope; Materials science; Nanowire; Optoelectronics; Volta potential; Nanotechnology; Impurity; Scanning probe microscopy; Band gap; Scanning electron microscope; Etching (microfabrication); Atomic force microscopy; Composite material","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":[0.000111248,0.000155639,0.0002163899,0.0001772092,0.00006283987,0.000009399902,0.0001193211,0.0002868492,0.000009572037],"category_scores_gemma":[0.00000873074,0.0001610238,0.000030222,0.0002714014,0.00005861213,0.0001736133,0.00002305128,0.000178383,0.00001077012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005202729,"about_ca_system_score_gemma":0.00001070054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001551866,"about_ca_topic_score_gemma":0.00006339031,"domain_scores_codex":[0.9991525,0.00000913046,0.0002118638,0.0001684291,0.00005004871,0.0004079722],"domain_scores_gemma":[0.999694,0.00002536345,0.0000341552,0.0001908318,0.000009401862,0.00004625827],"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":[0.000001808036,0.0000217656,0.02397994,0.00006462957,0.000006445817,0.000001390662,0.0001466419,0.00001507631,0.9677331,0.000792133,0.000002702222,0.00723431],"study_design_scores_gemma":[0.000233522,0.00001375737,0.01198831,0.00009994829,0.0000210733,0.00003608107,0.00008506289,0.001039883,0.9702984,0.000157751,0.01573466,0.0002915378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947731,0.001874618,0.002420986,0.0001137981,0.00009815959,0.0002376569,0.000006163578,0.0003107865,0.0001647512],"genre_scores_gemma":[0.9954114,0.0001074109,0.004278964,0.00004320228,0.00003647017,0.00006056104,0.000003894549,0.00003631274,0.00002178115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01573196,"threshold_uncertainty_score":0.6566359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119150817674214,"score_gpt":0.2347186516413657,"score_spread":0.2235271434646235,"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."}}