{"id":"W4410411822","doi":"10.1021/acs.macromol.4c02610","title":"High Heat Resistance, Barrier Property, and Low Carbon Emission PET for Sustainable Food Packaging Applications Based on Biobased Functional Monomers","year":2025,"lang":"en","type":"article","venue":"Macromolecules","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Food packaging; Heat resistance; Monomer; Materials science; Carbon fibers; Polymer chemistry; Chemical engineering; Chemistry; Composite material; Polymer; Food science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001530026,0.0003755347,0.0001627855,0.0002538203,0.0001039196,0.0002287851,0.0001693932,0.0003563987,0.0006343576],"category_scores_gemma":[0.0001564657,0.0002033746,0.0001854235,0.0002317363,0.000166605,0.0002749329,0.0001862432,0.0003913573,0.0003255578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569336,"about_ca_system_score_gemma":0.0001105637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001524184,"about_ca_topic_score_gemma":0.0003727954,"domain_scores_codex":[0.9998919,0.00001378588,0.000006200087,0.00002026116,0.00004946397,0.00001844978],"domain_scores_gemma":[0.9999331,0.00001049289,0.00002260203,0.00000691623,0.00001555466,0.0000113451],"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":[0.00001396115,0.0000115219,0.00006674782,0.00002935951,0.000001110637,0.00004221331,0.000005843656,0.00008583972,0.9982409,0.000092638,0.00002141679,0.001388438],"study_design_scores_gemma":[0.000003749782,0.000117298,0.001350897,0.000004080922,0.000004437304,0.00014928,0.000007193387,0.0008087223,0.996181,0.00002562179,0.001344043,0.000003720026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759734,0.003214066,0.01630705,0.0001412346,0.00003637019,0.00005334038,0.0001371467,0.0001446015,0.003992645],"genre_scores_gemma":[0.9828804,0.001284713,0.01331488,0.00004391379,0.00001479501,0.00006298716,0.000179222,0.00003654454,0.002182571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006343576,"threshold_uncertainty_score":0.002122164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009072277398514083,"score_gpt":0.2058453473015383,"score_spread":0.1967730699030242,"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."}}