{"id":"W4414871702","doi":"10.1016/j.polymer.2025.129174","title":"Elevating polycarbonate performance: Exploiting in-situ nanofibrillated and crosslinked ethylene propylene diene monomer networks to achieve superior material properties","year":2025,"lang":"en","type":"article","venue":"Polymer","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Trade, Industry and Energy","keywords":"Polycarbonate; Toughness; Microfiber; Izod impact strength test; Elastomer; Composite number; Polymer; Monomer; Natural rubber","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004425345,0.0003337874,0.0004220202,0.00025959,0.0003420394,0.0002791863,0.0002398299,0.0001645863,0.000118519],"category_scores_gemma":[0.00004918351,0.0002732185,0.00003992374,0.0004759471,0.0001799405,0.0004563276,0.0003473922,0.000140358,0.00002104356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006334823,"about_ca_system_score_gemma":0.0001090577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004581364,"about_ca_topic_score_gemma":0.00005613376,"domain_scores_codex":[0.9977221,0.000140844,0.0006323722,0.0005558294,0.0002364443,0.0007123413],"domain_scores_gemma":[0.9993675,0.00003143185,0.0001050903,0.0002835515,0.00007855121,0.0001339147],"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":[0.0006290116,0.00002319993,0.004787283,0.00009904835,0.00001375031,0.000002270667,0.001788451,0.000271805,0.9859672,0.00007926157,0.000008830843,0.006329862],"study_design_scores_gemma":[0.000597909,0.0001180301,0.004548005,0.0003696635,0.00001504778,0.000006732757,0.0003490187,0.002902862,0.99045,0.000009216966,0.0002545181,0.0003790412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931556,0.003319606,0.0001572545,0.0005600906,0.0007652587,0.000474897,0.000008366543,0.0001786881,0.001380235],"genre_scores_gemma":[0.9966552,0.0001424952,0.0001891651,0.0007855996,0.0001630299,0.0001250507,0.000009993216,0.0000441628,0.00188534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005950821,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472047178123039,"score_gpt":0.2293429876495789,"score_spread":0.2146225158683485,"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."}}