{"id":"W4414416021","doi":"10.1016/j.mtcomm.2025.113865","title":"Balancing multi-property trade-offs in EPDM O-ring seals: Tailoring curing and filler systems for strength, compression set, thermal-oxidative aging, and supercritical CO2 resistance","year":2025,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Compression set; Vulcanization; Ultimate tensile strength; Carbon black; Curing (chemistry); Supercritical carbon dioxide; Supercritical fluid; Natural rubber","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":[0.0005315566,0.0003851024,0.0002584156,0.0003477442,0.0002630073,0.0005478382,0.0003511253,0.0003412194,0.0009570582],"category_scores_gemma":[0.0007616988,0.0002050902,0.0001447781,0.0001781614,0.0002499495,0.001078778,0.0003904146,0.0002808853,0.000405333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086548,"about_ca_system_score_gemma":0.0001578847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001334656,"about_ca_topic_score_gemma":0.0005552333,"domain_scores_codex":[0.9997503,0.00003112668,0.00001956629,0.00006948412,0.00007783277,0.00005164641],"domain_scores_gemma":[0.9994299,0.00019827,0.0001646892,0.00006084865,0.0001123582,0.00003393442],"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":[0.0001113831,0.0000417528,0.0004315451,0.00006356398,0.000008215908,0.00003924138,0.00004286144,0.001466668,0.9880303,0.0003688738,0.0001045235,0.009291098],"study_design_scores_gemma":[0.00000751726,0.0003786658,0.001510077,0.00001024898,0.00002050839,0.00009546048,0.0000569076,0.01009036,0.9859891,0.0001743968,0.001653856,0.00001294466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723976,0.001918908,0.02200927,0.000111179,0.00005025126,0.00002399784,0.00006898257,0.0002401855,0.003179595],"genre_scores_gemma":[0.9951244,0.0002808078,0.003574608,0.00002556573,0.00001302998,0.000009643487,0.00002275459,0.00004582967,0.000903391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009570582,"threshold_uncertainty_score":0.003201723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846906200851232,"score_gpt":0.2869736600787436,"score_spread":0.2585045980702313,"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."}}