{"id":"W2760877385","doi":"10.1021/acsomega.7b00983","title":"Miscibility and Performance Evaluation of Biocomposites Made from Polypropylene/Poly(lactic acid)/Poly(hydroxybutyrate-<i>co</i>-hydroxyvalerate) with a Sustainable Biocarbon Filler","year":2017,"lang":"en","type":"article","venue":"ACS Omega","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"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; Government of Canada","keywords":"Materials science; Biopolymer; Polypropylene; Ultimate tensile strength; Composite material; Miscibility; Extrusion; Polymer; Scanning electron microscope; Crystallinity; Filler (materials); Polymer blend; Chemical engineering; Copolymer","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":[0.0003361188,0.0005108909,0.00024908,0.0004899033,0.0001356021,0.0003096552,0.0002111082,0.0003215858,0.0005785655],"category_scores_gemma":[0.0005960881,0.0002401006,0.000257013,0.0003397907,0.0001625892,0.0005420736,0.0002225288,0.0002925715,0.0002661123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097771,"about_ca_system_score_gemma":0.0001720611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003904972,"about_ca_topic_score_gemma":0.001081194,"domain_scores_codex":[0.999635,0.00006366026,0.00004221223,0.00007279999,0.0001435793,0.00004280903],"domain_scores_gemma":[0.9994624,0.0001487931,0.0001810626,0.00003731805,0.0001148995,0.00005553315],"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":[0.0001322309,0.00002681113,0.0002916037,0.00004679063,0.000006646247,0.00003843068,0.0000187773,0.0001469288,0.9974285,0.00002247918,0.00000734878,0.001833442],"study_design_scores_gemma":[0.000001804062,0.0002523104,0.0008220329,0.000003208909,0.0000146252,0.00004512499,0.000008254088,0.0004158221,0.998137,0.000005367847,0.0002917193,0.000002736767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962217,0.00115617,0.001835843,0.00001783737,0.0000145249,0.00001350839,0.00009493518,0.00004457231,0.000600889],"genre_scores_gemma":[0.9962645,0.0006074586,0.00208115,0.00001108418,0.000006719108,0.00001553331,0.0001206444,0.00002928517,0.0008634942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005785655,"threshold_uncertainty_score":0.001935422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752406788203961,"score_gpt":0.2545310049993463,"score_spread":0.2270069371173067,"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."}}