{"id":"W2754664332","doi":"10.1021/acs.accounts.7b00234","title":"High-Purity Semiconducting Single-Walled Carbon Nanotubes: A Key Enabling Material in Emerging Electronics","year":2017,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Carbon nanotube; Electronics; Nanotechnology; Materials science; Key (lock); Carbon fibers; Chemistry; Computer science; 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":[0.003415569,0.0002527897,0.0005664981,0.0003013117,0.0002655659,0.0005247352,0.002011592,0.0002807834,0.0002185306],"category_scores_gemma":[0.006323838,0.0002547766,0.0000850303,0.0002876723,0.0006091764,0.0005531143,0.001541153,0.0007440657,0.00001882579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990142,"about_ca_system_score_gemma":0.0002958674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961526,"about_ca_topic_score_gemma":0.0001148287,"domain_scores_codex":[0.9956163,0.0001941875,0.0007165594,0.0007399995,0.001453009,0.001279986],"domain_scores_gemma":[0.9969441,0.0008488573,0.0002808932,0.001283407,0.0005118751,0.0001308291],"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":[0.000278559,0.0001939892,0.0008301832,0.0001016816,0.000009971875,0.00002033944,0.0003090696,0.000008737184,0.9975352,0.0002781496,0.00004125009,0.0003928665],"study_design_scores_gemma":[0.0008161734,0.00006610722,0.00004823711,0.0002511314,0.000007693101,0.000007853176,0.00009346455,0.0002638952,0.9961219,0.00185038,0.0002294575,0.0002436849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971445,0.0003049275,9.276143e-7,0.000421339,0.0005840352,0.000317059,0.00001769146,0.00005236885,0.001157197],"genre_scores_gemma":[0.9984724,0.00006142881,0.0008296711,0.0000148947,0.000489953,0.0000392146,0.000008740069,0.00004664604,0.00003705188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002908268,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585016168630379,"score_gpt":0.3543311428707505,"score_spread":0.2984809811844467,"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."}}