{"id":"W3137345006","doi":"10.3390/jcs5030091","title":"Effect of Graphene Oxide as a Reinforcement in a Bio-Epoxy Composite","year":2021,"lang":"en","type":"article","venue":"Journal of Composites Science","topic":"Graphene research and applications","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epoxy; Materials science; Thermogravimetric analysis; Graphene; Composite material; Flexural strength; Ultimate tensile strength; Differential scanning calorimetry; Scanning electron microscope; Thermal stability; Glass transition; Fourier transform infrared spectroscopy; Dynamic mechanical analysis; Flexural modulus; Oxide; Composite number; Polymer; Chemical engineering; Chemistry; Organic chemistry; 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":[0.00009816219,0.0004500195,0.0001847396,0.0004027721,0.0001165074,0.0001829942,0.0001908954,0.0003541111,0.0007374504],"category_scores_gemma":[0.0001370311,0.0002031943,0.0003273108,0.0001823407,0.0001255088,0.0002616694,0.0001630586,0.0004142541,0.0001771355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000114458,"about_ca_system_score_gemma":0.00008179015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004225157,"about_ca_topic_score_gemma":0.001461761,"domain_scores_codex":[0.9999311,0.000009117538,0.000006073891,0.00001672025,0.0000246893,0.00001225194],"domain_scores_gemma":[0.999922,0.00001591751,0.0000227792,0.000004492001,0.00001513328,0.00001964366],"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":[0.00005174776,0.00003263211,0.00004802981,0.0001339161,0.000009379307,0.00009007085,0.0000134185,0.0001330941,0.9978487,0.00003297227,0.00002160627,0.001584392],"study_design_scores_gemma":[0.000007385341,0.0005003016,0.001440105,0.00002209628,0.00004213251,0.0001140901,0.00001895292,0.0006262857,0.9956246,0.00001745506,0.0015778,0.000008890472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936807,0.002646811,0.001571364,0.00005274263,0.00006507375,0.00003038096,0.0001000441,0.00007910836,0.001773729],"genre_scores_gemma":[0.9930905,0.001670237,0.003623261,0.00005312882,0.00001131629,0.00001902183,0.00006737623,0.00001784382,0.001447259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007374504,"threshold_uncertainty_score":0.002467036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008864625643004827,"score_gpt":0.3046141629980494,"score_spread":0.2957495373550446,"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."}}