{"id":"W4311793702","doi":"10.3390/coatings12121967","title":"Corrosion, Wear, and Antibacterial Behaviors of Hydroxyapatite/MgO Composite PEO Coatings on AZ31 Mg Alloy by Incorporation of TiO2 Nanoparticles","year":2022,"lang":"en","type":"article","venue":"Coatings","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Bu-Ali Sina University","keywords":"Materials science; Plasma electrolytic oxidation; Corrosion; Coating; Simulated body fluid; Composite number; Electrolyte; Wetting; Surface roughness; Chemical engineering; Metallurgy; Layer (electronics); Porosity; Nanoparticle; Adhesion; Alloy; Composite material; Nanotechnology; Chemistry; Scanning electron microscope","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001437652,0.0003329564,0.0002489114,0.0002488861,0.0001240833,0.0002080031,0.0002197741,0.0003067641,0.0002769304],"category_scores_gemma":[0.0001958231,0.0002113152,0.0003074281,0.0001747065,0.0001204352,0.0001692787,0.0001435368,0.0002092676,0.00009376851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724365,"about_ca_system_score_gemma":0.00008636036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231084,"about_ca_topic_score_gemma":0.002257102,"domain_scores_codex":[0.9998366,0.00001243554,0.00001379259,0.00003108564,0.00008315395,0.0000228094],"domain_scores_gemma":[0.9999082,0.00001287581,0.00002953733,0.000007469161,0.00003201917,0.000009813608],"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":[0.0000366723,0.000005640444,0.0001760398,0.00003208443,0.000003587415,0.00002783338,0.00001360228,0.00005262531,0.998877,0.000005251965,0.000007902553,0.0007618091],"study_design_scores_gemma":[0.000004750863,0.0001794313,0.00610323,0.00000371535,0.0000161694,0.0000726388,0.00002331632,0.001574223,0.9916171,0.000006558224,0.0003922647,0.00000659969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980925,0.000877556,0.0006381333,0.00001261742,0.00001026899,0.000006342406,0.00003590196,0.0000187124,0.0003080642],"genre_scores_gemma":[0.99765,0.0003961068,0.001249597,0.000009333578,0.000005129643,0.000009672481,0.00005619717,0.000006461266,0.0006175184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001231084,"threshold_uncertainty_score":0.002447844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015276485535874,"score_gpt":0.2204107756803459,"score_spread":0.2102580108249872,"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."}}