{"id":"W2165609164","doi":"10.1039/c5ra16446j","title":"High performance graphene embedded rubber composites","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Graphene; Composite material; Natural rubber; Materials science; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117227,0.0003884201,0.0001394229,0.0005045983,0.0001705978,0.0002563242,0.0001820209,0.0004884925,0.003064815],"category_scores_gemma":[0.0001445938,0.0001610645,0.0002397589,0.0002954798,0.0001707376,0.0003596317,0.0002630108,0.0005506329,0.0009588791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606604,"about_ca_system_score_gemma":0.0000907547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002898368,"about_ca_topic_score_gemma":0.001420482,"domain_scores_codex":[0.9998736,0.00001556778,0.000005315859,0.0000229374,0.00004835579,0.00003402722],"domain_scores_gemma":[0.9999144,0.00001907958,0.00001375107,0.000008937953,0.00002237063,0.00002148176],"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":[0.00004520729,0.00002205855,0.00006614458,0.000103255,0.000008786763,0.0001214595,0.00001829592,0.000314503,0.9940774,0.0003648779,0.0004914668,0.004366602],"study_design_scores_gemma":[0.000006565841,0.0001042372,0.001001384,0.000006780306,0.00001406304,0.0001049815,0.00001424382,0.001729273,0.9909235,0.0001273708,0.005953239,0.00001425545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586102,0.004245587,0.01039732,0.0005140763,0.0004100685,0.00003615161,0.0007491334,0.001179562,0.02385809],"genre_scores_gemma":[0.9883464,0.0007281415,0.00584456,0.00006873826,0.00002947525,0.000010668,0.000209275,0.00005722788,0.004705517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003064815,"threshold_uncertainty_score":0.01025283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821596490487237,"score_gpt":0.2435039857539436,"score_spread":0.2252880208490712,"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."}}