{"id":"W2991128808","doi":"10.1021/acsomega.9b01771","title":"Hybrid Green Bionanocomposites of Bio-based Poly(butylene succinate) Reinforced with Pyrolyzed Perennial Grass Microparticles and Graphene Nanoplatelets","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Materials science; Masterbatch; Composite material; Polybutylene succinate; Ultimate tensile strength; Graphene; Biocomposite; Compounding; Dynamic mechanical analysis; Scanning electron microscope; Nanocomposite; Composite number; Polymer; Nanotechnology","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":[0.0001140808,0.000459033,0.0001616899,0.0003328939,0.00008368591,0.0001966957,0.0001332021,0.0002449084,0.0006411304],"category_scores_gemma":[0.00008304945,0.0001690606,0.0002538316,0.0001993798,0.0001480622,0.0002961632,0.0001655258,0.0002813321,0.0001698842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002192908,"about_ca_system_score_gemma":0.0001267136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004094742,"about_ca_topic_score_gemma":0.001547357,"domain_scores_codex":[0.9999126,0.000007180451,0.000006776533,0.00002172819,0.00003308954,0.00001853669],"domain_scores_gemma":[0.9999257,0.00001096112,0.00002746493,0.000005775456,0.00001071189,0.0000193388],"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":[0.00001118872,0.000007675381,0.00003517138,0.00001565446,0.00000248538,0.0000175931,0.000003457013,0.00009459838,0.9993574,0.00002557931,0.000005319208,0.0004238655],"study_design_scores_gemma":[0.000003054411,0.0001086633,0.001054352,0.000002118188,0.000007413402,0.00003825521,0.000006726004,0.0007760866,0.997466,0.00001485687,0.0005184714,0.000004071012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921622,0.0005268184,0.005579031,0.00003335754,0.00002914696,0.00003621259,0.0001534446,0.00009432669,0.001385628],"genre_scores_gemma":[0.9884339,0.0003757158,0.009080063,0.00003421706,0.00000903147,0.00003530653,0.0001666814,0.00002038515,0.001844605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006411304,"threshold_uncertainty_score":0.002144814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008191633516142794,"score_gpt":0.1922445904741808,"score_spread":0.184052956958038,"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."}}