{"id":"W4398200608","doi":"10.1021/acsami.4c05589","title":"Enhancing Mechanical Performance of High-Density Polyethylene at Different Environmental Conditions with Outstanding Foamability through In-Situ Rubber Nanofibrillation: Exploring the Impact of Interface Modification","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; In situ; Natural rubber; Surface modification; Interface (matter); Composite material; Polyethylene; High-density polyethylene; Chemical engineering; Organic chemistry; Contact angle; Engineering","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":[0.0002165147,0.0004583902,0.0001825409,0.0001247724,0.0001069014,0.0002152564,0.0001538379,0.0002693132,0.000557474],"category_scores_gemma":[0.0002037599,0.0001131593,0.0001977993,0.00008138169,0.0001419822,0.0003922253,0.0001627864,0.0002981781,0.0001615236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001505,"about_ca_system_score_gemma":0.00008587527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804121,"about_ca_topic_score_gemma":0.0004432383,"domain_scores_codex":[0.9998649,0.00002393741,0.00001065732,0.00003200603,0.00003564753,0.00003282377],"domain_scores_gemma":[0.999855,0.00003633355,0.00005138891,0.000009443293,0.00002842147,0.00001942033],"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":[0.00001261129,0.00000725151,0.00003596754,0.00001934863,0.000001803189,0.00001691985,0.000009449494,0.00002122233,0.9995665,0.000006308585,0.000001921149,0.0003007496],"study_design_scores_gemma":[0.000001623964,0.00008271986,0.000599153,0.000001335065,0.0000044939,0.00003518408,0.000008456332,0.000280207,0.9987804,0.000004351713,0.0001997512,0.000002235638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950269,0.0007403368,0.003767089,0.00002992574,0.000009273028,0.000014874,0.00003081273,0.00003418996,0.0003467003],"genre_scores_gemma":[0.9952359,0.0004831297,0.003669657,0.00002142048,0.000007748431,0.00001187556,0.00004719425,0.00001645592,0.0005066955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000557474,"threshold_uncertainty_score":0.00186497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219200658257171,"score_gpt":0.2626190832250794,"score_spread":0.2406990173993623,"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."}}