{"id":"W2268225219","doi":"10.1115/imece2014-38596","title":"Characterization of Electrical Conductivity of Carbon Nanotube Composites","year":2014,"lang":"en","type":"article","venue":"","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Carbon nanotube; Materials science; Composite material; Epoxy; Electrical resistivity and conductivity; Agglomerate; Nanocomposite; Percolation threshold; Composite number; Conductivity; Dispersion (optics); Polymer; Surface modification; Chemical engineering","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":[0.0002056753,0.0003419544,0.0002037898,0.0006524436,0.0002806583,0.0002585829,0.0001826052,0.0004058231,0.0009881393],"category_scores_gemma":[0.0006392362,0.0001222487,0.0001760013,0.0003498286,0.0001819291,0.0003976729,0.0001211644,0.0003067153,0.000229737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532368,"about_ca_system_score_gemma":0.0001428805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003522561,"about_ca_topic_score_gemma":0.0006153599,"domain_scores_codex":[0.999741,0.00002391854,0.00002225661,0.00005814655,0.0001256552,0.00002899523],"domain_scores_gemma":[0.9995541,0.0001282896,0.00005765378,0.00003110959,0.0001962216,0.00003257864],"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":[0.00002100259,0.000008787975,0.0003124771,0.00003148398,0.000002974276,0.00006655263,0.00002396063,0.0001813501,0.9977271,0.00004497322,0.00002090388,0.001558497],"study_design_scores_gemma":[0.000001660617,0.00008556615,0.002827119,0.000004723571,0.000006682842,0.0001462768,0.00002977053,0.001764607,0.9940798,0.00005314717,0.0009931567,0.000007491012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712495,0.001659175,0.02219392,0.000104516,0.00006957641,0.00007534737,0.0004885669,0.0001954966,0.003963895],"genre_scores_gemma":[0.9868749,0.0006875698,0.01003353,0.00004232668,0.00001584602,0.00007468769,0.0003901233,0.00004661515,0.001834405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009881393,"threshold_uncertainty_score":0.003305614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009670515202430428,"score_gpt":0.2281040974409034,"score_spread":0.218433582238473,"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."}}