{"id":"W2081355143","doi":"10.1016/j.carbon.2015.03.023","title":"Observation of the metallic-type selective etching of single walled carbon nanotubes by real-time in situ two-laser Raman spectroscopy","year":2015,"lang":"en","type":"article","venue":"Carbon","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Raman spectroscopy; Materials science; Carbon nanotube; Laser; Optical properties of carbon nanotubes; Spectroscopy; Etching (microfabrication); Nanotube; Analytical Chemistry (journal); Optoelectronics; Nanotechnology; Optics; 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":[0.0001537296,0.0003548328,0.0001808071,0.0002373875,0.0002249577,0.0003301134,0.0004338242,0.0004943124,0.001246152],"category_scores_gemma":[0.0002330354,0.0002797161,0.0001731182,0.0001774662,0.0003610546,0.0003046633,0.0002048068,0.0004682257,0.0002289372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338322,"about_ca_system_score_gemma":0.0001490664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006775166,"about_ca_topic_score_gemma":0.001321951,"domain_scores_codex":[0.9998506,0.00001553704,0.000004964952,0.00004269883,0.00005578178,0.0000302841],"domain_scores_gemma":[0.9998429,0.00005580188,0.00003189995,0.00002427533,0.00003108471,0.00001396045],"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":[0.00001898418,0.000004577947,0.00005875591,0.00001118978,0.000001488219,0.0000245719,0.00001657142,0.00002602741,0.9991879,0.00007110747,0.00002988152,0.0005490975],"study_design_scores_gemma":[0.000003983689,0.00001630519,0.001190886,0.00000113858,0.00000287611,0.00006078615,0.00001736092,0.00118836,0.9970533,0.00003099021,0.0004298648,0.000004104418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851429,0.0003733901,0.01059909,0.0001185305,0.00005021061,0.00001693746,0.0002427745,0.00017381,0.003282236],"genre_scores_gemma":[0.9886079,0.0002028269,0.008662142,0.00003527696,0.00001207864,0.00001806935,0.000112819,0.00003955081,0.002309445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001246152,"threshold_uncertainty_score":0.004168808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041940107940044,"score_gpt":0.2570627594354239,"score_spread":0.2366433583560235,"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."}}