{"id":"W2801704119","doi":"10.1039/c8ra02087f","title":"Investigation of the size effect of graphene nano-platelets (GnPs) on the anti-corrosion performance of polyurethane/GnP composites","year":2018,"lang":"en","type":"article","venue":"RSC Advances","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Tafel equation; Composite material; Polyurethane; Corrosion; Graphene; Copper; Electrochemistry; Metallurgy; Electrode; Nanotechnology; 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":[0.0001607666,0.0002903224,0.0001545332,0.0002243963,0.00009997845,0.0001283848,0.0001765757,0.0002536495,0.0009182902],"category_scores_gemma":[0.0002934047,0.0001610156,0.0002358273,0.0001593829,0.0001506424,0.0001952051,0.0001127687,0.0002919579,0.000157222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044515,"about_ca_system_score_gemma":0.00007971755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005835671,"about_ca_topic_score_gemma":0.00161423,"domain_scores_codex":[0.9998814,0.00001815873,0.000008943098,0.0000240074,0.00004901411,0.00001847796],"domain_scores_gemma":[0.9998104,0.00007858849,0.00004159931,0.00001333102,0.00003815005,0.00001792896],"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":[0.00003847642,0.00001157551,0.00009579691,0.00004665746,0.000004190887,0.00003655002,0.00001475583,0.0001091623,0.998515,0.00001937364,0.00001956688,0.001088986],"study_design_scores_gemma":[0.000002353529,0.0001632598,0.00234041,0.000002571053,0.00001237723,0.00005209299,0.0000147815,0.000531214,0.9966355,0.000008713262,0.0002328686,0.000003842062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975357,0.0005979533,0.0007724609,0.00003099556,0.00001603076,0.000009890041,0.00008849989,0.00002890987,0.000919554],"genre_scores_gemma":[0.9968161,0.0004857136,0.001757632,0.00001965072,0.00000556558,0.00001450056,0.00009588973,0.000009768409,0.0007951668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009182902,"threshold_uncertainty_score":0.003072023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114070956847405,"score_gpt":0.2419968900482621,"score_spread":0.2305897943635216,"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."}}