{"id":"W2799473417","doi":"10.1039/c8ra01707g","title":"Novel compatibilized nylon-based ternary blends with polypropylene and poly(lactic acid): morphology evolution and rheological behaviour","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Discovery Centre","funders":"University of Guelph; Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Rheology; Polypropylene; Ternary operation; Materials science; Morphology (biology); Lactic acid; Compatibilization; Polymer chemistry; Composite material; Chemical engineering; Polymer blend; Polymer science; Polymer; Copolymer; Geology; Computer science","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":[0.0001648155,0.0003758062,0.0002577977,0.0003962916,0.0001101137,0.0003075553,0.0001878275,0.0003442521,0.001020864],"category_scores_gemma":[0.0003601754,0.0002079073,0.0002256342,0.0004361235,0.0001500788,0.0005007829,0.0001960164,0.0003875971,0.0003223744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981394,"about_ca_system_score_gemma":0.0001132654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002474227,"about_ca_topic_score_gemma":0.0006321197,"domain_scores_codex":[0.9998345,0.00001676361,0.00002029424,0.00004482876,0.00005557677,0.00002801775],"domain_scores_gemma":[0.9998062,0.00002763538,0.00008962981,0.00001465772,0.00003265346,0.00002917206],"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":[0.00004658516,0.00001411009,0.00006188003,0.0000358401,0.000004065561,0.00002552844,0.000009101124,0.00004871358,0.9985252,0.00004088804,0.00001086426,0.001177209],"study_design_scores_gemma":[0.000004844509,0.00009981292,0.000970823,0.000003322737,0.00001457158,0.00006870327,0.000006681974,0.0005696052,0.9975413,0.00001367808,0.0007030861,0.000003442858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941433,0.001066554,0.003197819,0.00003749122,0.00003007022,0.00002295813,0.0001241806,0.0001239554,0.001253662],"genre_scores_gemma":[0.9935222,0.000470332,0.003825267,0.00001607984,0.000007948111,0.00002836405,0.0001357398,0.00004904081,0.001945121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020864,"threshold_uncertainty_score":0.003415167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000465413098821,"score_gpt":0.247901005035696,"score_spread":0.2278963509047078,"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."}}