{"id":"W4310130519","doi":"10.1021/acs.iecr.2c03246","title":"Optimization of Electrical, Dielectric, and Electromagnetic Response in Nanocomposite Foam by Balancing Carbon Nanotube Restricted Orientation and Selective Distribution","year":2022,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Higher Education Discipline Innovation Project; State Key Laboratory of Polymer Materials Engineering; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Nanocomposite; Carbon nanotube; Materials science; Composite material; Electrical conductor; Dielectric; Volume fraction; Polarization (electrochemistry); Nanotube; Aspect ratio (aeronautics); Nanotechnology; Optoelectronics; 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":[0.0001205584,0.0003483327,0.0001720547,0.00021688,0.0001455125,0.0002343487,0.0001634851,0.0002758624,0.000325488],"category_scores_gemma":[0.000292589,0.0001452742,0.000128959,0.0001755392,0.000139374,0.0002908,0.0001657232,0.0002026435,0.0001046206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001892536,"about_ca_system_score_gemma":0.0001285725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003618565,"about_ca_topic_score_gemma":0.00118743,"domain_scores_codex":[0.9998933,0.00001517751,0.00000708161,0.00002828587,0.00003125143,0.00002498019],"domain_scores_gemma":[0.9998944,0.00002920553,0.00002591781,0.000005759489,0.00002846072,0.00001623681],"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":[0.00005682707,0.00002965342,0.0002364221,0.00004432155,0.000003695758,0.00003286431,0.00001698375,0.001123017,0.9954109,0.0001087615,0.00002040376,0.002916216],"study_design_scores_gemma":[0.000009970932,0.0001704824,0.0008807167,0.000005654326,0.00001140546,0.00004394869,0.00002639849,0.01447979,0.9834626,0.00006611558,0.0008333418,0.000009501417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925972,0.0004243726,0.005867511,0.0000272236,0.000009923883,0.00001086911,0.00003285898,0.00005209258,0.0009778463],"genre_scores_gemma":[0.9951723,0.0001836408,0.004304495,0.00001049984,0.000003011778,0.00002375472,0.00003088184,0.00001147167,0.0002600568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003618565,"threshold_uncertainty_score":0.001373172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425907313374862,"score_gpt":0.2625507727400692,"score_spread":0.2482916996063206,"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."}}