{"id":"W2176166164","doi":"10.1021/acsami.5b08577","title":"Layer-by-Layer Assembly of a Self-Healing Anticorrosion Coating on Magnesium Alloys","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Materials science; Corrosion; Coating; Conversion coating; Dielectric spectroscopy; Magnesium alloy; Scanning electron microscope; Oxide; Magnesium; Chemical engineering; Layer (electronics); Self-healing; Plasma electrolytic oxidation; Graphene; Composite material; Metallurgy; Nanotechnology; Electrochemistry; Electrolyte","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001074704,0.0003369605,0.0005304568,0.0001090643,0.0001295487,0.0002370748,0.0003761988,0.0001913574,0.0004076008],"category_scores_gemma":[0.0000580777,0.0002922658,0.00002476008,0.0001289099,0.00007346079,0.0002590985,0.000244844,0.0001076854,0.0004137373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008966831,"about_ca_system_score_gemma":0.0000574504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465252,"about_ca_topic_score_gemma":0.000005206612,"domain_scores_codex":[0.9974834,0.0001312056,0.0008090854,0.0005517589,0.0005786605,0.000445925],"domain_scores_gemma":[0.9987,0.00008700309,0.0004839332,0.0004233682,0.0001760155,0.0001296744],"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":[0.0003036534,0.0002330216,0.00003061214,0.00009334038,0.000001203526,0.000001995681,0.0006486204,0.00006192631,0.9959013,0.0003044215,0.002295165,0.0001247692],"study_design_scores_gemma":[0.0007402001,0.0004093869,0.0000257915,0.0001124627,0.00004495432,0.000005944488,0.0005207364,0.000005782256,0.9975861,0.0001166565,0.0001172539,0.0003147893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965741,0.00004642208,0.0002648634,0.00009680427,0.001305572,0.0004597484,0.0001059459,0.0002578211,0.0008887309],"genre_scores_gemma":[0.9983788,0.00001351266,0.001035513,0.0001720717,0.0001364698,0.00007685654,0.00003970775,0.00005330392,0.00009380469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002177911,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762343276117507,"score_gpt":0.2833954839816727,"score_spread":0.2457720512204977,"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."}}