{"id":"W4407555738","doi":"10.1002/pen.27123","title":"Development of sustainable polymer composite with agro‐industrial residue for biomedical applications","year":2025,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Residue (chemistry); Composite number; Polymer; Sustainable development; Polymer science; Nanotechnology; Composite material; Organic chemistry","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":[0.0001456002,0.0003641227,0.0001559388,0.000367139,0.0001046993,0.0002227597,0.0001250871,0.0003019604,0.001008156],"category_scores_gemma":[0.0001190848,0.0001896796,0.0003504519,0.0002532211,0.0001043349,0.0002357635,0.0001708925,0.0002975281,0.0003848303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127275,"about_ca_system_score_gemma":0.0001667531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002633337,"about_ca_topic_score_gemma":0.0007988273,"domain_scores_codex":[0.9999087,0.000009066722,0.000007311501,0.00002193736,0.00003846258,0.00001457046],"domain_scores_gemma":[0.9999193,0.00001166546,0.00002880871,0.000006028656,0.00002032013,0.00001389866],"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":[0.00001466731,0.000008778627,0.00005947498,0.00003816329,0.00000270543,0.00002354042,0.000003887935,0.0001661532,0.9981925,0.00002097451,0.000009567775,0.001459592],"study_design_scores_gemma":[0.000003044072,0.0001433829,0.001272855,0.000004980995,0.00001033521,0.00007635297,0.000006853148,0.001205488,0.9961546,0.00002086705,0.001097191,0.000003956174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972747,0.002230333,0.02090012,0.00007394024,0.00004026304,0.00005188428,0.0002629848,0.0002309156,0.003462563],"genre_scores_gemma":[0.9789439,0.0008690716,0.01735696,0.00004117714,0.000005320037,0.00004490154,0.0001989267,0.0000331046,0.00250657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001008156,"threshold_uncertainty_score":0.00337261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438675038339979,"score_gpt":0.2233488160593226,"score_spread":0.2089620656759228,"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."}}