{"id":"W2085887062","doi":"10.1038/srep01378","title":"High yield production and purification of few layer graphene by Gum Arabic assisted physical sonication","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Graphene research and applications","field":"Materials Science","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Graphene; Raman spectroscopy; Materials science; Graphite; Sonication; Graphene oxide paper; Graphite oxide; Oxide; Chemical engineering; Yield (engineering); Gum arabic; Nanotechnology; Composite material; Chemistry; Organic chemistry","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":[0.0001151832,0.0004391297,0.0002132862,0.0003536968,0.0001905281,0.0003015599,0.0002696434,0.0003436537,0.0009787132],"category_scores_gemma":[0.0002494867,0.0001708668,0.0002498897,0.0002549872,0.0002239323,0.0002983897,0.0003483272,0.0005450179,0.0005939818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707003,"about_ca_system_score_gemma":0.0001207579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002898053,"about_ca_topic_score_gemma":0.0006748674,"domain_scores_codex":[0.9998847,0.0000163028,0.00001005794,0.00002247811,0.0000547634,0.00001173543],"domain_scores_gemma":[0.9998806,0.00002444113,0.00003044256,0.00002942066,0.00001832132,0.00001679845],"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":[0.000004430007,0.000005087823,0.00002698636,0.00001740567,0.000001524823,0.00003575228,0.000007172079,0.0001019958,0.9983925,0.00004965513,0.0000245731,0.00133297],"study_design_scores_gemma":[0.000002832563,0.00005677506,0.0004184211,0.000003571811,0.000005156226,0.0001123515,0.000007494104,0.0009574828,0.9969098,0.00008985797,0.001431089,0.000005201014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907445,0.002382335,0.08188691,0.000396892,0.0001066844,0.0001553339,0.000863265,0.0008136575,0.005949869],"genre_scores_gemma":[0.9325967,0.001338549,0.06210701,0.00006342379,0.00001602831,0.00004342688,0.0006435002,0.00009303189,0.003098355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009787132,"threshold_uncertainty_score":0.003274083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437893119170146,"score_gpt":0.2695698809622337,"score_spread":0.2451909497705323,"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."}}