{"id":"W2071944546","doi":"10.1103/physrevb.71.075316","title":"Scanning capacitance microscopy of nanostructures","year":2005,"lang":"en","type":"article","venue":"Physical Review B","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nanowire; Nanodot; Materials science; Capacitance; Nanostructure; Doping; Quantum dot; Plane (geometry); Microscopy; Optoelectronics; Nanotechnology; Orientation (vector space); Scanning electron microscope; Optics; Physics; Quantum mechanics; Geometry; 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":[0.00003831014,0.0001041768,0.0002432198,0.000009964855,0.00004626182,0.000007368915,0.0001570373,0.000008463464,0.000196167],"category_scores_gemma":[0.000003079092,0.00008642767,0.000132677,0.00013555,0.00006577553,0.00005823028,0.00001937657,0.00008974319,0.00004087619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009546355,"about_ca_system_score_gemma":0.00001630697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003237475,"about_ca_topic_score_gemma":3.892759e-7,"domain_scores_codex":[0.9994494,0.00001129312,0.0001794452,0.0001452127,0.00007610345,0.0001385695],"domain_scores_gemma":[0.9995517,0.00001860163,0.0001098784,0.0002380412,0.00004140458,0.00004042141],"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":[0.000001976164,0.000135317,0.0007110051,0.0002835468,0.00002201236,4.603684e-8,0.00008706716,0.00001018467,0.7378221,0.1945715,0.01258034,0.05377489],"study_design_scores_gemma":[0.00008273336,0.00002249104,0.0002196402,0.0008798346,0.00004315788,3.519647e-7,0.000008987308,0.0001050819,0.8507888,0.01251281,0.135168,0.0001680969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046938,0.02194665,0.01582798,0.001902116,0.00006815736,0.001227597,0.0002081874,0.0001419494,0.05398356],"genre_scores_gemma":[0.9922765,0.0002615051,0.006790604,0.0002644248,0.0002051915,0.00005397609,0.00001372851,0.00001163866,0.0001224145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1820587,"threshold_uncertainty_score":0.3524418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007325014482450741,"score_gpt":0.3352866536929914,"score_spread":0.3279616392105407,"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."}}