{"id":"W604021605","doi":"10.1016/j.carbon.2015.05.101","title":"Influence of hydrogen functionalization on the fracture strength of graphene and the interfacial properties of graphene–polymer nanocomposite","year":2015,"lang":"en","type":"article","venue":"Carbon","topic":"Graphene research and applications","field":"Materials Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid","keywords":"Graphene; Materials science; Surface modification; Nanocomposite; Polymer nanocomposite; Polymer; Composite material; Dangling bond; Molecular dynamics; Passivation; Nanotechnology; Chemical engineering; Silicon; Computational chemistry; Chemistry; Layer (electronics)","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":[0.0003433219,0.00007797279,0.0001429554,0.00005768363,0.00005074932,0.00001048644,0.0002018465,0.0000345739,0.000007259553],"category_scores_gemma":[0.00007708765,0.00003886348,0.00004191505,0.0002366059,0.0006597498,0.00004848411,0.00005392608,0.00005758751,6.883463e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005563773,"about_ca_system_score_gemma":0.00005143404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003927534,"about_ca_topic_score_gemma":0.00001334118,"domain_scores_codex":[0.999126,0.0001282251,0.0002131623,0.0001208006,0.0003128018,0.0000989769],"domain_scores_gemma":[0.999287,0.00007658676,0.0001583049,0.0002440383,0.0001943665,0.00003971316],"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":[0.0002532011,0.00004449742,0.002130597,0.000024934,0.00001820728,4.482506e-8,0.0007386993,0.0009999806,0.982421,0.01328844,0.00003050077,0.00004991632],"study_design_scores_gemma":[0.0003626737,0.00008163627,0.002495165,0.00004953829,0.00001770551,6.864375e-7,0.0001624691,0.0002297348,0.9927869,0.003733331,0.0000385032,0.00004162535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980716,0.0009054191,0.0000218432,0.0004589453,0.00001973237,0.0002658911,0.00001403369,0.000007751143,0.0002348252],"genre_scores_gemma":[0.9998257,0.0000382736,0.000008783226,0.00004706532,0.00001662155,0.00004310516,0.000002379935,0.000005213039,0.00001283962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036595,"threshold_uncertainty_score":0.2430875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008185994368147,"score_gpt":0.2371968204423732,"score_spread":0.2171149604986918,"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."}}