{"id":"W2123056276","doi":"10.1007/s10853-013-7584-2","title":"Effects of SWCNTs on mechanical and thermal performance of epoxy at elevated temperatures","year":2013,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Epoxy; Ultimate tensile strength; Composite material; Carbon nanotube; Glass transition; Nanocomposite; Thermosetting polymer; Necking; Tensile testing; Thermogravimetric analysis; Polymer; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001571237,0.0001501389,0.0004619909,0.0001958213,0.0001072625,0.0001083824,0.0006394596,0.00005903213,0.0002638781],"category_scores_gemma":[0.000419308,0.0001011165,0.00004616088,0.0002399156,0.0006052356,0.0005421768,0.0002680056,0.00008193693,0.00001833498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005954439,"about_ca_system_score_gemma":0.0001094807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002048031,"about_ca_topic_score_gemma":2.943522e-7,"domain_scores_codex":[0.9978544,0.0001280706,0.0007073887,0.0002079228,0.0008245945,0.0002776721],"domain_scores_gemma":[0.9981853,0.0003023853,0.0007434645,0.0002313165,0.0004165042,0.0001210432],"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":[0.0001928397,0.00006987424,0.0002149339,0.0001296047,0.000004628538,0.000005883873,0.00008920163,0.00003723315,0.99898,0.0001802019,0.00004118796,0.00005436201],"study_design_scores_gemma":[0.0004638227,0.0008775874,0.02253033,0.0002942879,0.00001606665,0.0001040225,0.000007917656,0.00006075299,0.9754322,0.000110287,0.000003758661,0.00009901662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984687,0.0001005046,0.00000253839,0.00006895686,0.001119977,0.0001921914,0.000005366473,0.000008032417,0.00003373605],"genre_scores_gemma":[0.9981692,0.00004507773,0.001619375,0.00005165591,0.00008218891,0.000003435075,1.321833e-7,0.000009383543,0.00001954574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0235479,"threshold_uncertainty_score":0.4123411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005042832578095926,"score_gpt":0.2214897728018127,"score_spread":0.2164469402237167,"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."}}