{"id":"W1994323126","doi":"10.1116/1.4847995","title":"Surface modification of nitrogen-doped carbon nanotubes by ozone via atomic layer deposition","year":2013,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"X-ray photoelectron spectroscopy; Ozone; Carbon nanotube; Atomic layer deposition; Materials science; Oxidizing agent; Raman spectroscopy; Surface modification; Carbon fibers; Chemical engineering; Scanning electron microscope; Nanotechnology; Chemical vapor deposition; Analytical Chemistry (journal); Layer (electronics); Chemistry; Environmental chemistry; Composite material; Composite number; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020001,0.000352184,0.0001696751,0.0001877274,0.0001454237,0.0001656427,0.0002963925,0.0002937557,0.0004120894],"category_scores_gemma":[0.0001570271,0.0001694372,0.0002651883,0.0001411771,0.0001142341,0.000190995,0.0001553272,0.0002225672,0.0001120202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646693,"about_ca_system_score_gemma":0.0001064517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007096062,"about_ca_topic_score_gemma":0.001463701,"domain_scores_codex":[0.9998909,0.000008655408,0.000007634788,0.00002518518,0.00004696344,0.00002057641],"domain_scores_gemma":[0.9999406,0.00001194755,0.00001753992,0.000007125343,0.00001628157,0.000006457969],"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":[0.000009633121,0.000004634058,0.00005910317,0.00002172873,0.000002815527,0.00002456654,0.000005636043,0.00004880709,0.9990871,0.00003320542,0.00001252382,0.0006901438],"study_design_scores_gemma":[0.00000307449,0.00006143242,0.001191898,0.000002705332,0.000006663299,0.00004685788,0.000006130013,0.0008542634,0.9967571,0.0000176183,0.001048389,0.000003845859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885001,0.001712395,0.007576263,0.00005016109,0.0000749132,0.00003817882,0.0002138628,0.0001067308,0.001727414],"genre_scores_gemma":[0.9868063,0.001838948,0.009566208,0.00004159975,0.00001077409,0.00004814696,0.0002395839,0.0000256272,0.0014228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007096062,"threshold_uncertainty_score":0.001410902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00935980095506802,"score_gpt":0.2346449111870091,"score_spread":0.225285110231941,"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."}}