{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001764969,0.0001643656,0.0002202287,0.00004895849,0.0001495022,0.00008493038,0.0002716078,0.0000387205,0.0001973824],"category_scores_gemma":[0.00001336416,0.0001207113,0.00003679033,0.0001477103,0.0001457819,0.0007381235,0.00008584787,0.00006355107,0.0005336005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002127869,"about_ca_system_score_gemma":0.00003381251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006548782,"about_ca_topic_score_gemma":0.00000794063,"domain_scores_codex":[0.9988748,0.00004903523,0.0002162873,0.00025407,0.0002770116,0.0003288389],"domain_scores_gemma":[0.9994065,0.00003916337,0.00009007959,0.000246854,0.00007822186,0.0001392138],"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":[0.0002324059,0.00009332818,0.007089873,0.00005927446,0.00001168676,0.000007475578,0.0007092137,0.002060002,0.9753307,0.001157718,0.001245573,0.01200281],"study_design_scores_gemma":[0.0004444075,0.0002083008,0.001178524,0.00003930151,0.00001281129,0.0000156974,0.00008734714,0.0002768838,0.9722894,0.001243305,0.02395264,0.0002513789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851333,0.01003717,0.0001728409,0.0001628226,0.0008307835,0.0001063127,0.00001445707,0.0001616074,0.003380649],"genre_scores_gemma":[0.9917073,0.0002390303,0.00672026,0.000202834,0.0001818176,0.00002093968,0.000007014046,0.00001590806,0.0009049327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02270707,"threshold_uncertainty_score":0.6858534,"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."}}