{"id":"W3008667947","doi":"10.3390/en13041003","title":"Biocomposite Fabrication from Enzymatically Treated Nanocellulosic Fibers and Recycled Polylactic Acid","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ozymes (Canada); York University; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biocomposite; Polylactic acid; Materials science; Ultimate tensile strength; Thermal stability; Composite material; Fourier transform infrared spectroscopy; Scanning electron microscope; Fabrication; Nuclear chemistry; Composite number; Chemical engineering; Chemistry; Polymer","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":[0.0002259069,0.0004758732,0.0002606227,0.0003020018,0.0001331395,0.0002622418,0.000192946,0.0002804283,0.0005937226],"category_scores_gemma":[0.0001331689,0.00018099,0.0003504231,0.0002065603,0.0001623076,0.0002348204,0.0001419176,0.0003676768,0.0002196683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269959,"about_ca_system_score_gemma":0.000187782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006860907,"about_ca_topic_score_gemma":0.002044106,"domain_scores_codex":[0.9998322,0.00001323357,0.00001635171,0.0000512659,0.00005804651,0.000028923],"domain_scores_gemma":[0.9998837,0.0000132491,0.00004532327,0.00001851264,0.00002347576,0.00001583724],"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":[0.00001119754,0.000005925126,0.00003337621,0.00001024598,0.000001627785,0.0000195173,0.000003667151,0.00003066967,0.9994105,0.00001310543,0.000003329614,0.0004567932],"study_design_scores_gemma":[9.493797e-7,0.00004727921,0.0005596429,0.000001846363,0.00000431962,0.00003442662,0.000004655645,0.0001622744,0.9988262,0.000004365423,0.0003520286,0.000001946632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897971,0.0008296585,0.007735946,0.00001942371,0.00002656695,0.00003261698,0.000163826,0.00007796481,0.001317026],"genre_scores_gemma":[0.979359,0.0006542643,0.01696046,0.00002588458,0.000006781307,0.00006784221,0.0003017699,0.00004064805,0.002583361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006860907,"threshold_uncertainty_score":0.001986206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146214302309955,"score_gpt":0.2104248625461635,"score_spread":0.198962719523064,"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."}}