{"id":"W4403478600","doi":"10.6000/1929-5995.2024.13.17","title":"Optimising Nanoparticle Dispersion Time for Enhanced Thermomechanical Properties in DGEBA-Based Shape Memory Polymer Composites","year":2024,"lang":"en","type":"article","venue":"Journal of Research Updates in Polymer Science","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Sultan Zainal Abidin","keywords":"Materials science; Composite material; Dispersion (optics); Nanoparticle; Polymer; Epoxy; Shape-memory polymer; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001769121,0.000372355,0.0002437671,0.0002585708,0.0001840141,0.0002972372,0.0001749412,0.0003348808,0.0007190045],"category_scores_gemma":[0.0003038942,0.0002413909,0.0002367564,0.0002131628,0.0001401005,0.0003309188,0.0001663894,0.0004914112,0.0003358467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968017,"about_ca_system_score_gemma":0.0001361551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004811899,"about_ca_topic_score_gemma":0.001647532,"domain_scores_codex":[0.999861,0.00001090659,0.00001473328,0.00005007566,0.00003907454,0.00002410434],"domain_scores_gemma":[0.9998296,0.00004935082,0.00004622139,0.000009737272,0.00004193502,0.00002299382],"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":[0.00002773377,0.00001750228,0.00004600721,0.00004115424,0.000001810131,0.00002022393,0.00002238273,0.000115245,0.9985812,0.00001864546,0.00001815532,0.001090043],"study_design_scores_gemma":[0.00000264472,0.0000978709,0.0004210708,0.000003762094,0.00000535856,0.00001540579,0.00001186911,0.0006825232,0.9982001,0.000008269904,0.0005467069,0.000004394853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913973,0.001472827,0.005070776,0.00007011866,0.00004384178,0.00004200322,0.0001725708,0.0001201187,0.001610486],"genre_scores_gemma":[0.9874988,0.001069115,0.009488801,0.00003236715,0.000008895916,0.00009281753,0.0001636853,0.00005902418,0.001586426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007190045,"threshold_uncertainty_score":0.002405345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023637461015991,"score_gpt":0.3444066814995874,"score_spread":0.3041703068894275,"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."}}