{"id":"W3207541905","doi":"10.1038/s41378-021-00310-w","title":"Controlled growth of a single carbon nanotube on an AFM probe","year":2021,"lang":"en","type":"article","venue":"Microsystems & Nanoengineering","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Key Research and Development Projects of Shaanxi Province; Fundamental Research Funds for the Central Universities","keywords":"Carbon nanotube; Nanotechnology; Materials science; Nanostructure; Atomic force microscopy; Yield (engineering); Nanoscopic scale; Aspect ratio (aeronautics); Scanning probe microscopy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678996,0.0003512944,0.0002921879,0.0002776564,0.0002414754,0.0002845722,0.0004467285,0.0005471433,0.0009588184],"category_scores_gemma":[0.0004278801,0.0002356597,0.0001441591,0.000160968,0.0002540404,0.0004099542,0.0003524747,0.000428747,0.0003613852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405211,"about_ca_system_score_gemma":0.0001684233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002565809,"about_ca_topic_score_gemma":0.0006176223,"domain_scores_codex":[0.999762,0.00001556978,0.00001205545,0.00009743241,0.00008014739,0.00003283576],"domain_scores_gemma":[0.9996388,0.0001488114,0.00006225624,0.00004514723,0.00006214609,0.00004279046],"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":[0.000007823828,0.000003396366,0.00003360137,0.000009586211,7.285161e-7,0.00002020277,0.000007339559,0.00003040324,0.9990368,0.00004907004,0.00003122502,0.0007698331],"study_design_scores_gemma":[0.000005538292,0.00004413161,0.0004149333,0.000001836768,0.000002517695,0.00005941508,0.000004925874,0.002532294,0.9958425,0.00002323874,0.001064159,0.000004415276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952629,0.0007140718,0.04124151,0.000226496,0.000172448,0.0001256832,0.0003651885,0.0006594902,0.003866117],"genre_scores_gemma":[0.9362035,0.0004885676,0.05981399,0.0001223802,0.00005969639,0.0001342891,0.0001942204,0.0001352088,0.002848108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009588184,"threshold_uncertainty_score":0.003207624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006228906532988237,"score_gpt":0.2209050886144871,"score_spread":0.2146761820814989,"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."}}