{"id":"W2327314303","doi":"10.1021/nn504093g","title":"Mid-infrared Polaritonic Coupling between Boron Nitride Nanotubes and Graphene","year":2014,"lang":"en","type":"article","venue":"ACS Nano","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Graphene; Materials science; Boron nitride; Polariton; Graphene nanoribbons; Infrared; Surface phonon; Optoelectronics; Surface plasmon polariton; Plasmon; Phonon; Nanophotonics; Nanotechnology; Surface plasmon; Condensed matter physics; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008325871,0.0002556835,0.0001147341,0.0002015573,0.000198413,0.0001613871,0.0002616267,0.0002984102,0.000552702],"category_scores_gemma":[0.0001684578,0.00016793,0.00009129859,0.00009876923,0.0002498752,0.0002441846,0.0004268731,0.0002442983,0.0001377268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128338,"about_ca_system_score_gemma":0.00007859617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003450206,"about_ca_topic_score_gemma":0.0005169107,"domain_scores_codex":[0.999871,0.00002316577,0.000002984824,0.00002019747,0.00006131699,0.00002135941],"domain_scores_gemma":[0.9999168,0.000033661,0.00002284962,0.000004727099,0.00001054184,0.00001143007],"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":[0.00004027868,0.00001012809,0.000269846,0.00004134739,0.000004030994,0.00009287844,0.00002329916,0.000320709,0.9969024,0.0007422318,0.00003506097,0.001517695],"study_design_scores_gemma":[0.000008069273,0.0001372349,0.002547119,0.000009833673,0.000006344261,0.0002488295,0.00004975132,0.006572714,0.9886687,0.0005911908,0.001150114,0.00001012501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875712,0.0008584762,0.006569272,0.0000776232,0.0000261573,0.00001416251,0.00004654175,0.00003266994,0.004803857],"genre_scores_gemma":[0.9963539,0.0002501104,0.002511175,0.00002965186,0.000005508517,0.00001065562,0.00002900268,0.000002714035,0.0008072728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000552702,"threshold_uncertainty_score":0.001848996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176787757967418,"score_gpt":0.2262158115764331,"score_spread":0.2144479339967589,"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."}}