{"id":"W1985689612","doi":"10.1039/c0nr00111b","title":"Probing the electronic structure of carbon nanotubes by nanoscale spectroscopy","year":2010,"lang":"en","type":"article","venue":"Nanoscale","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Carbon nanotube; Nanotechnology; Materials science; Electronic structure; Nanoscopic scale; Carbon fibers; Electron energy loss spectroscopy; Chemical physics; Transmission electron microscopy; Chemistry; Composite number; Computational chemistry","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":[0.0003170671,0.0003024531,0.0003790678,0.00007360725,0.0002043653,0.00009630874,0.000977228,0.0002351215,0.0005005883],"category_scores_gemma":[0.0001036875,0.0002142694,0.000125939,0.0003681043,0.0004632921,0.0001298895,0.0002165888,0.0005776181,0.00001872098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007944266,"about_ca_system_score_gemma":0.0001727599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002765994,"about_ca_topic_score_gemma":0.0004716186,"domain_scores_codex":[0.997595,0.0001090344,0.0004525508,0.0005249558,0.0005628751,0.0007555711],"domain_scores_gemma":[0.9984409,0.0002221208,0.000215292,0.0009219054,0.0001107919,0.00008903081],"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":[0.00003462348,0.00006237238,0.001282831,0.00002297302,0.000009966732,9.652878e-7,0.0002446407,0.000006275513,0.9950535,0.001595395,0.001594444,0.00009197981],"study_design_scores_gemma":[0.0003374394,0.000151724,0.0002127073,0.00002114102,0.00003424122,0.00002773575,0.0000310029,0.0001121447,0.9892992,0.001995298,0.00752796,0.0002494426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949633,0.0006143292,0.00004105083,0.0004807247,0.001711451,0.0004479983,0.00007794968,0.000128952,0.001534211],"genre_scores_gemma":[0.9982545,0.00002088971,0.0007784651,0.0001510678,0.0002684571,0.00002119385,0.00001041803,0.00004852359,0.000446451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005933516,"threshold_uncertainty_score":0.8737653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00409775045308404,"score_gpt":0.2252891133346853,"score_spread":0.2211913628816013,"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."}}