{"id":"W4407969145","doi":"10.1021/acs.iecr.4c04158","title":"Low-Concentration Graphene Nanoplatelet/HDPE Nanocomposites with Enhanced Dispersion and Interfacial Bonding for Improved CO<sub>2</sub> Barrier and Mechanical Performance at Elevated Temperatures","year":2025,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Graphene; Nanocomposite; Dispersion (optics); Composite material; Chemical engineering; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006051183,0.0003312739,0.0001152499,0.0001655661,0.00009494106,0.0001442253,0.0001786661,0.0003272706,0.0006301762],"category_scores_gemma":[0.0001042703,0.0001226239,0.0001323506,0.0001073238,0.0001433133,0.000254305,0.0001522056,0.0002919462,0.00015619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191119,"about_ca_system_score_gemma":0.00007709066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166681,"about_ca_topic_score_gemma":0.001215387,"domain_scores_codex":[0.9999501,0.000004523678,0.000003550763,0.00001285668,0.00002108583,0.000007849509],"domain_scores_gemma":[0.9999477,0.000009666986,0.00001949934,0.000003637775,0.00001149569,0.000008027324],"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":[0.000008631563,0.000005092326,0.00002315778,0.00001430603,0.000001346835,0.00001210277,0.000002771151,0.00008407121,0.9992649,0.00001962732,0.000009299486,0.0005547443],"study_design_scores_gemma":[0.000001660497,0.00004589519,0.0003904668,0.000001519836,0.000003947893,0.0000334917,0.000003453183,0.0009370175,0.9981343,0.000009770923,0.000436578,0.000001885354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883618,0.0006309732,0.009300745,0.00005566171,0.00001902904,0.00002543028,0.0001041353,0.0001627687,0.001339355],"genre_scores_gemma":[0.9852485,0.0003351932,0.01263276,0.00003070401,0.000006020143,0.00001734429,0.0001157066,0.00002613363,0.001587571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006301762,"threshold_uncertainty_score":0.002108157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273680865051035,"score_gpt":0.2582006403941405,"score_spread":0.2454638317436301,"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."}}