{"id":"W2284106516","doi":"10.1016/j.carbon.2016.02.043","title":"Synthesis and in-situ oxygen functionalization of deposited graphene nanoflakes for nanofluid generation","year":2016,"lang":"en","type":"article","venue":"Carbon","topic":"Graphene research and applications","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Surface modification; Graphene; Nucleation; Chemical engineering; Materials science; Oxygen; Carbon fibers; Dispersion (optics); Nanoparticle; Plasma; Nanotechnology; Chemistry; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001885682,0.00005762298,0.00009107432,0.0001072774,0.00004596565,0.00001365114,0.00005806554,0.0000392698,0.00001198938],"category_scores_gemma":[0.0001155989,0.00004178124,0.00002352829,0.0001540418,0.00006015679,0.00007291266,0.00001436611,0.000009111444,0.00000125054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001777414,"about_ca_system_score_gemma":0.00002648183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003104603,"about_ca_topic_score_gemma":0.0001317574,"domain_scores_codex":[0.9993947,0.00003763538,0.000154563,0.0001734533,0.0001150684,0.000124583],"domain_scores_gemma":[0.9995705,0.0001210937,0.00004823175,0.000120099,0.0001005068,0.00003952254],"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":[0.00002965546,0.00002044516,0.002196718,0.00001663349,0.000003252485,9.438977e-8,0.00001679481,0.000002902267,0.9940757,0.002434834,0.00009222852,0.001110749],"study_design_scores_gemma":[0.0002174426,0.00002835238,0.01080529,0.00002621406,0.000007867858,8.565827e-7,0.000008239815,0.0001858229,0.9875719,0.0009412707,0.0001512674,0.00005546882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919999,0.0002747794,0.006937429,0.0002381863,0.00004780992,0.0002433149,0.00001912662,0.00001634897,0.0002231382],"genre_scores_gemma":[0.9989403,0.0001006558,0.0005963783,0.00001144268,0.00004502174,0.0002383762,0.000008421568,0.000007127887,0.00005226937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008608568,"threshold_uncertainty_score":0.1703789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260301325310511,"score_gpt":0.2504858426438953,"score_spread":0.2278828293907902,"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."}}