{"id":"W2913788077","doi":"10.1021/acsomega.8b02587","title":"Super Toughened Poly(lactic acid)-Based Ternary Blends via Enhancing Interfacial Compatibility","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agriculture and Agri-Food Canada; Ontario Ministry of Research, Innovation and Science; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Materials science; Extrusion; Reactive extrusion; Compatibilization; Izod impact strength test; Composite material; Rheology; Bioplastic; Biodegradable polymer; Polylactic acid; Polybutylene succinate; Polymer blend; Polymer; Copolymer; Ultimate tensile strength","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":[0.00008205325,0.0004705014,0.0002143252,0.0003164529,0.00008330937,0.0003507889,0.0001894011,0.0002590612,0.0008670998],"category_scores_gemma":[0.0001459956,0.0002112125,0.0001970999,0.0003222248,0.0001386004,0.0004647844,0.0003094085,0.0003679877,0.0003100327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860268,"about_ca_system_score_gemma":0.00009234431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001402622,"about_ca_topic_score_gemma":0.0003356873,"domain_scores_codex":[0.999902,0.00000834175,0.00001235792,0.00002374468,0.00003098615,0.00002245101],"domain_scores_gemma":[0.9998841,0.00001144333,0.0000583621,0.0000070707,0.00001720939,0.00002180805],"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":[0.00002166238,0.000008810437,0.00003133506,0.00002130357,0.000002696113,0.00002352486,0.00000578867,0.00007510385,0.9988797,0.00006412661,0.000006681948,0.0008591546],"study_design_scores_gemma":[0.000004414603,0.00006925585,0.0002943673,0.000002346475,0.000007827606,0.00004408262,0.000004001276,0.000874611,0.9980038,0.00001316648,0.0006793456,0.000002835344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813789,0.001239139,0.01547955,0.00003989594,0.00002802237,0.00003682972,0.00008587185,0.000161397,0.001550379],"genre_scores_gemma":[0.9889485,0.000789258,0.00776347,0.00002796112,0.000008686944,0.00004648121,0.0001024396,0.00004600229,0.002267295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008670998,"threshold_uncertainty_score":0.00290072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707135831874961,"score_gpt":0.2307873860454858,"score_spread":0.2137160277267362,"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."}}