{"id":"W2806806519","doi":"10.1149/ma2018-01/7/741","title":"(Invited) Localized Covalent Defects on Carbon Nanotube Devices for Sensor Applications","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Carbon nanotube; Surface modification; Covalent bond; Nanotechnology; Materials science; Molecule; Carbon nanobud; Nanotube; Chemistry; Optical properties of carbon nanotubes; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005381595,0.0001796681,0.0001849092,0.00006649373,0.0005327191,0.0001027537,0.0002370011,0.00008925589,0.00002744884],"category_scores_gemma":[0.0002144297,0.0001685558,0.00006953259,0.0001744694,0.0001350212,0.00004557217,0.00004110356,0.00008562734,0.0001959394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004726255,"about_ca_system_score_gemma":0.00003572687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002059093,"about_ca_topic_score_gemma":0.00007828789,"domain_scores_codex":[0.9985238,0.00003656829,0.0003519749,0.0004784644,0.0002211654,0.0003880137],"domain_scores_gemma":[0.9985651,0.0004637321,0.0002617314,0.0004278184,0.0001537536,0.0001278069],"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":[0.00002402317,0.00008723048,0.0001062398,0.00004038252,0.000006355013,5.723457e-7,0.000186466,0.0003119549,0.9974877,0.00003657794,0.0009343924,0.0007780998],"study_design_scores_gemma":[0.000293083,0.00008947532,0.0004258924,0.00007489359,0.00003289603,0.000003881706,0.000145322,0.0001534363,0.9284174,0.0001913134,0.06997406,0.0001982765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822989,0.0001173231,0.0001088954,0.001350846,0.000338849,0.0006819048,0.00003651017,0.0002224317,0.01484431],"genre_scores_gemma":[0.9926624,0.000003118721,0.005117547,0.0009231109,0.0006865689,0.0003823983,0.00001565872,0.00003353413,0.0001756038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06907024,"threshold_uncertainty_score":0.6873507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955460903572985,"score_gpt":0.2887659230803767,"score_spread":0.2592113140446468,"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."}}