{"id":"W4306181647","doi":"10.1016/j.polymdegradstab.2022.110179","title":"Degradation of polymer nanocomposites filled with graphene oxide and reduced graphene oxide nanoparticles: A review of current status","year":2022,"lang":"en","type":"review","venue":"Polymer Degradation and Stability","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Graphene; Oxide; Materials science; Nanocomposite; Polymer; Degradation (telecommunications); Nanoparticle; Nanomaterials; Polymer nanocomposite; Nanotechnology; Polymer degradation; Chemical engineering; Composite material; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005095454,0.0004882054,0.001577977,0.0002945755,0.0001220218,0.00002672178,0.0001707877,0.0001012354,0.0001742008],"category_scores_gemma":[0.00004347622,0.0004014714,0.0002391844,0.0009954915,0.0002036552,0.0001697915,0.00007578753,0.0001821739,6.85535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005342212,"about_ca_system_score_gemma":0.0001337535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001460636,"about_ca_topic_score_gemma":0.0000277711,"domain_scores_codex":[0.9970994,0.0003680485,0.001355478,0.0005125947,0.0003462242,0.0003182346],"domain_scores_gemma":[0.9982432,0.0002977894,0.0005801743,0.0006157921,0.00008933658,0.0001736758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009893103,0.0004819345,0.0008324876,0.1803403,0.0006445048,9.074261e-7,0.0001934805,8.86733e-7,0.07600607,0.002437915,0.00009310628,0.7388695],"study_design_scores_gemma":[0.002614822,0.0005239683,0.002830635,0.05159088,0.007584829,0.00008444965,0.0003859927,0.00009385439,0.6678624,0.0002657215,0.2629749,0.003187536],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1301857,0.8678605,0.00008084239,0.00001038138,0.00006984012,0.001152926,0.0005132786,0.00007985748,0.00004665025],"genre_scores_gemma":[0.01352903,0.9848285,0.0002550111,0.000009462151,0.000008094132,0.0005441838,0.0007645926,0.00005417768,0.000006992316],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.735682,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703070017936386,"score_gpt":0.2770626857452859,"score_spread":0.2400319855659221,"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."}}