{"id":"W2044563726","doi":"10.1088/0957-4484/19/33/335202","title":"Charge contrast imaging of suspended nanotubes by scanning electron microscopy","year":2008,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute for Microstructural Sciences","funders":"","keywords":"Materials science; Scanning electron microscope; Nanostructure; Substrate (aquarium); Nanotechnology; Scanning confocal electron microscopy; Electron; Contrast (vision); Optics; Physics; 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":[0.0001664238,0.0002307121,0.0001379978,0.0005038746,0.0002093878,0.0003222739,0.000401175,0.0005192383,0.001063013],"category_scores_gemma":[0.0003038018,0.0001972085,0.0001138232,0.0001984552,0.0002611839,0.0005199861,0.0003007978,0.0005350342,0.0002823462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956103,"about_ca_system_score_gemma":0.0001563384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002886719,"about_ca_topic_score_gemma":0.0005703687,"domain_scores_codex":[0.9998784,0.00001070497,0.000005194079,0.00002007227,0.00006862926,0.00001691677],"domain_scores_gemma":[0.9997864,0.00008243931,0.00002656233,0.00001962807,0.00006150353,0.00002342071],"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":[0.00002462266,0.00001015485,0.0000835614,0.00003037088,0.00000202318,0.0001190824,0.00001388401,0.0001392067,0.9955657,0.0006411881,0.0001073728,0.003262841],"study_design_scores_gemma":[0.00002424733,0.000149342,0.002013085,0.00001230694,0.000007510708,0.0009129166,0.00002821358,0.01038348,0.982199,0.0007773601,0.003477241,0.00001536363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8389601,0.002729434,0.1478767,0.0002687633,0.000169099,0.0001099698,0.0003240955,0.0006762091,0.008885728],"genre_scores_gemma":[0.8620707,0.001554674,0.1304755,0.0001360178,0.0000624575,0.00008210612,0.0002417584,0.00006243713,0.005314298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001063013,"threshold_uncertainty_score":0.003556132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006969148961626753,"score_gpt":0.2515857112062885,"score_spread":0.2446165622446617,"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."}}