{"id":"W2784259186","doi":"10.1007/s10008-018-3878-2","title":"Elevate the corrosion potential of Zn coatings using ceramic nanoparticles","year":2018,"lang":"en","type":"article","venue":"Journal of Solid State Electrochemistry","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Suncor Energy Incorporated","keywords":"Corrosion; Materials science; Coating; Nanocrystalline material; Zinc; Nanocomposite; Nanoparticle; Chemical engineering; Electrochemistry; Ceramic; Metallurgy; Composite material; Nanotechnology; Chemistry; Electrode","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":[0.0004828334,0.0001171729,0.0002089971,0.00003566773,0.0001881113,0.00004704926,0.0002345404,0.00005009415,0.0002120459],"category_scores_gemma":[0.00005986937,0.0000816851,0.0001023022,0.0001377568,0.0002040821,0.0001885892,0.00005209006,0.0001822681,0.000007271796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000722044,"about_ca_system_score_gemma":0.00014153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003502338,"about_ca_topic_score_gemma":0.000001602261,"domain_scores_codex":[0.9985598,0.00004861514,0.0005885542,0.0001218684,0.0004062492,0.0002749168],"domain_scores_gemma":[0.9984796,0.00002896307,0.0007323115,0.0001520976,0.0005353704,0.00007165127],"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":[0.0001989597,0.00005758209,0.0001074516,0.00001592631,0.000001042558,0.000006009196,0.0001955747,0.00006043068,0.9989634,0.000001489691,0.0002540069,0.0001381265],"study_design_scores_gemma":[0.0003536812,0.0003081618,0.0001159891,0.00009263384,0.00004535385,0.0002323713,0.0001659992,0.0005441413,0.9977472,0.0002815737,0.00002270767,0.00009012031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945049,0.0000773059,0.005003591,0.0000688916,0.0002551872,0.00004954123,0.00001284246,0.000009865274,0.00001788952],"genre_scores_gemma":[0.9992605,0.00002915396,0.0003591373,0.00004832414,0.0002373125,6.857069e-7,0.000001260837,0.0000126417,0.00005092812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00475567,"threshold_uncertainty_score":0.3331022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258327812740128,"score_gpt":0.2731279530665666,"score_spread":0.2605446749391653,"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."}}