{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002530506,0.0002655293,0.000431188,0.0001469215,0.0001439734,0.00009258245,0.0002892661,0.00007404269,0.00007183661],"category_scores_gemma":[0.00001072836,0.0001791905,0.00006142491,0.0001732181,0.0002729573,0.0002490197,0.00008564192,0.00007199016,0.00005849964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336535,"about_ca_system_score_gemma":0.00006395305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728469,"about_ca_topic_score_gemma":0.00003907371,"domain_scores_codex":[0.9984697,0.00008387458,0.0003574348,0.0003973921,0.0002855207,0.0004060975],"domain_scores_gemma":[0.9990841,0.0001119757,0.0001905465,0.0004049767,0.00009664331,0.0001117306],"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":[0.0006768196,0.00003968973,0.01236742,0.0001006182,0.00002903993,0.000006717645,0.0001145673,0.000003915778,0.9833573,0.0001788116,0.00002567961,0.003099423],"study_design_scores_gemma":[0.001245917,0.0004131678,0.003540351,0.00009743668,0.00004241407,0.00002583017,0.00004035451,0.0002254665,0.9937611,0.00005051383,0.0002620143,0.0002954146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929813,0.005838959,0.00003531378,0.0005879911,0.0001097191,0.0002384925,0.0000652632,0.00007151271,0.00007151039],"genre_scores_gemma":[0.9983777,0.00004742566,0.001104255,0.0001383718,0.00002462305,0.00001536782,0.00001303766,0.00002912085,0.0002501196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040383,"threshold_uncertainty_score":0.7307177,"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."}}