{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003933075,0.0001394515,0.0002521336,0.0000530776,0.0003397889,0.00004483447,0.00022565,0.0000503693,0.0004844031],"category_scores_gemma":[0.00004574736,0.0001340016,0.00003703418,0.000184825,0.0001911518,0.0001386784,0.0002481879,0.0001117381,0.000008727156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002733712,"about_ca_system_score_gemma":0.00003456006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004817395,"about_ca_topic_score_gemma":0.00001208331,"domain_scores_codex":[0.9985472,0.0001100505,0.0005154199,0.0002987215,0.0003535912,0.000175037],"domain_scores_gemma":[0.9989721,0.00007235102,0.0005456049,0.0002441434,0.0001026407,0.00006315028],"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":[0.00008443011,0.0001955501,0.004572106,0.0000490271,8.028858e-7,4.680055e-7,0.001000272,0.00004661763,0.9921507,0.0004289071,0.001227564,0.0002436128],"study_design_scores_gemma":[0.000474486,0.0005516359,0.001853306,0.00002871431,0.00002776821,0.000005363296,0.0003136056,0.0004388916,0.9946372,0.00007978951,0.001430914,0.0001583212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987328,0.00003698963,0.00006858105,0.0002830483,0.0001362651,0.0003470141,0.0001844926,0.00004526987,0.0001655111],"genre_scores_gemma":[0.9982286,0.000007456798,0.001180685,0.0001348269,0.00002416848,0.00008757702,0.00007932384,0.00001966654,0.000237675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0027188,"threshold_uncertainty_score":0.5464424,"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."}}