{"id":"W4385619304","doi":"10.1021/acsami.3c08042","title":"Controllable Coating Graphene Oxide and Silanes on Cu Particles as Dual Protection for Anticorrosion","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Graphene research and applications","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Fondation Chalmers; Stiftelsen Åforsk; Vetenskapsrådet","keywords":"Materials science; Graphene; Corrosion; Oxide; Galvanic corrosion; Coating; Tafel equation; Galvanic cell; Metallurgy; Triethoxysilane; Silane; Composite material; Nanotechnology; Chemical engineering; Electrochemistry; Electrode","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001269589,0.0005160292,0.0001939881,0.0002972398,0.0001448049,0.0002024469,0.0003256937,0.0004667696,0.0004088647],"category_scores_gemma":[0.0001857833,0.0002264054,0.0002761984,0.000143531,0.0002235847,0.0002880094,0.0002757887,0.0003871274,0.0001998966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911996,"about_ca_system_score_gemma":0.0001077806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004469559,"about_ca_topic_score_gemma":0.001197296,"domain_scores_codex":[0.9998253,0.00001973355,0.00001143632,0.00004668983,0.00005712096,0.00003980517],"domain_scores_gemma":[0.9998627,0.00002384795,0.00004782747,0.00001742555,0.00002809552,0.00002005451],"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":[0.00002215427,0.000008488467,0.00004504437,0.00004541446,0.000006939346,0.00004430595,0.00001436367,0.0000521556,0.9983112,0.00007293031,0.0000355084,0.001341589],"study_design_scores_gemma":[0.000003302881,0.00006536521,0.00034379,0.000002017017,0.000008761486,0.00005395935,0.000006250086,0.0006287553,0.998156,0.00001024074,0.0007174549,0.000004093242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805508,0.002431974,0.01433167,0.00009167767,0.00009339024,0.00005053101,0.0001091424,0.0003023853,0.002038412],"genre_scores_gemma":[0.9879799,0.0006747957,0.009911904,0.00005006857,0.00001807938,0.00002745562,0.00007876087,0.00002721952,0.001231877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005160292,"threshold_uncertainty_score":0.001387239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277503091268009,"score_gpt":0.2908965184484307,"score_spread":0.2581214875357506,"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."}}