{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001117509,0.0002061012,0.0004352687,0.00007187411,0.00006017361,0.00005330646,0.000156515,0.00005628348,0.00002998089],"category_scores_gemma":[0.000004967603,0.0002013428,0.0001467784,0.0002459855,0.00001989126,0.00005817615,0.00003943837,0.0001031696,0.000004368884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004382937,"about_ca_system_score_gemma":0.00004746607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482822,"about_ca_topic_score_gemma":0.000005370493,"domain_scores_codex":[0.9988974,0.00002715251,0.0003985578,0.0002917719,0.0001128093,0.0002722989],"domain_scores_gemma":[0.9992542,0.00002857156,0.000124713,0.000379028,0.0001419949,0.00007146687],"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":[0.00001530069,0.0001963173,0.0005909949,0.00006622894,0.00004473884,0.000001562411,0.0001288282,0.0001382363,0.9876179,0.01101895,0.0000457899,0.0001351527],"study_design_scores_gemma":[0.001058785,0.00009438409,0.0000492845,0.0001940821,0.00002660599,0.000004121553,0.0001100508,0.00096238,0.995451,0.0001191071,0.001717969,0.0002121852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769958,0.0002224132,0.017959,0.00004271132,0.0001599597,0.0006044437,0.00006766518,0.0001495194,0.003798491],"genre_scores_gemma":[0.9968991,0.000001464239,0.002159158,0.00001182319,0.0001479355,0.0001694705,0.00004954774,0.00004532573,0.0005162177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01990326,"threshold_uncertainty_score":0.8210523,"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."}}