{"id":"W2317176033","doi":"10.1021/nn3045227","title":"Metallic and Semiconducting Single-Walled Carbon Nanotubes: Differentiating Individual SWCNTs by Their Carbon 1s Spectra","year":2012,"lang":"en","type":"article","venue":"ACS Nano","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brockhouse Institute for Materials Research; McMaster University","funders":"","keywords":"Materials science; Carbon nanotube; Absorption spectroscopy; Spectroscopy; Transmission electron microscopy; Spectral line; Metal; Absorption (acoustics); Electron energy loss spectroscopy; Band gap; Analytical Chemistry (journal); Nanotechnology; Optoelectronics; Optics; Chemistry; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008232891,0.0004789878,0.0005820916,0.0001554609,0.0002263714,0.0002776794,0.0005251634,0.000218338,0.00008165902],"category_scores_gemma":[0.0003142151,0.0004160992,0.00009320013,0.0003016817,0.0001871429,0.0003982869,0.0005583338,0.0002677163,0.00001016842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455449,"about_ca_system_score_gemma":0.00003902042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003326953,"about_ca_topic_score_gemma":0.00002787528,"domain_scores_codex":[0.9969635,0.0002564262,0.0005766836,0.0006367401,0.000542774,0.001023855],"domain_scores_gemma":[0.9982451,0.0005797716,0.0003003976,0.0005754314,0.00006439105,0.0002349055],"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":[0.00001395559,0.0001792941,0.0109668,0.00003561805,0.00005855412,0.000002197045,0.002289103,5.978693e-7,0.9858273,0.0001022125,0.00004705372,0.000477324],"study_design_scores_gemma":[0.0006206777,0.00009323532,0.0004670934,0.00007835466,0.000124864,0.0000581317,0.0004045379,0.00006308559,0.9970871,0.0001968813,0.0003020051,0.00050402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919758,0.004136044,0.000004354406,0.00007479194,0.0014559,0.0003338711,0.00004861491,0.0002456808,0.001724895],"genre_scores_gemma":[0.9982998,0.00004870022,0.0007419953,0.0001141992,0.0005090119,0.00003246113,0.00002926549,0.00007821475,0.0001463169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01125983,"threshold_uncertainty_score":0.9998291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583367222360674,"score_gpt":0.234700836888027,"score_spread":0.2088671646644203,"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."}}