{"id":"W4408260918","doi":"10.1016/j.polymertesting.2025.108756","title":"Hydrolytic degradation of poly(lactic acid): Population balance modelling for simulating molecular weight distribution","year":2025,"lang":"en","type":"article","venue":"Polymer Testing","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institute of Food and Agriculture; AgBioResearch, Michigan State University","keywords":"Hydrolytic degradation; Degradation (telecommunications); Lactic acid; Hydrolysis; Materials science; Molar mass distribution; Population; Chemical engineering; Composite material; Organic chemistry; Polymer; Biology; Chemistry; Computer science; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955716,0.0001862849,0.0002784365,0.00008225534,0.0003025483,0.00007197772,0.0001726517,0.00008907811,0.00001360161],"category_scores_gemma":[0.0004448093,0.0001704369,0.00007828435,0.0003333375,0.00004647698,0.0002760939,0.0000475321,0.00007421727,0.000003867509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006334512,"about_ca_system_score_gemma":0.00005684999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246195,"about_ca_topic_score_gemma":0.000006027812,"domain_scores_codex":[0.9985143,0.00007932432,0.0005281892,0.0003376475,0.0002059256,0.0003346151],"domain_scores_gemma":[0.9988501,0.0004324649,0.0003098748,0.0002517772,0.000113688,0.00004207836],"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":[0.00006940783,0.00004915056,0.00888568,0.0002692922,0.00001987899,5.072003e-7,0.00006285406,0.001006727,0.870685,0.003040504,0.000008305351,0.1159026],"study_design_scores_gemma":[0.0001554252,0.00002007207,0.0001777587,0.0001843346,0.00004636065,9.282955e-7,0.00001417294,0.376889,0.6219388,0.0004511957,0.000009486084,0.0001124389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.539283,0.04508682,0.4144612,0.0002105588,0.0003415067,0.0002086671,0.00004438857,0.0001696619,0.0001942432],"genre_scores_gemma":[0.9879028,0.00000386781,0.0117484,0.00005670544,0.00006460162,0.00003923794,0.00004216346,0.00002502443,0.0001172065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4486198,"threshold_uncertainty_score":0.6950213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125075030688411,"score_gpt":0.2536057443414566,"score_spread":0.2223549940345725,"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."}}