{"id":"W2250017674","doi":"10.4028/www.scientific.net/kem.655.126","title":"PEO Ceramic Coating on Mg-10%wt. Zn for Potential Biological Application","year":2015,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Corrosion; Materials science; Coating; Simulated body fluid; Magnesium; Plasma electrolytic oxidation; Biocompatibility; Zinc; Metallurgy; Magnesium alloy; Alloy; Tribometer; Substrate (aquarium); Electrolyte; Tribology; Nuclear chemistry; Composite material; Scanning electron microscope; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005250547,0.0001960918,0.0002501445,0.0000474199,0.0001030729,0.0001663146,0.0002671957,0.0001130743,0.000423287],"category_scores_gemma":[0.0001116155,0.0001610937,0.00004438063,0.00007118922,0.00002983381,0.00008907282,0.00007784462,0.0000408878,0.0004807447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006078195,"about_ca_system_score_gemma":0.00002406399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004726696,"about_ca_topic_score_gemma":4.737205e-7,"domain_scores_codex":[0.9987417,0.00003153309,0.0003542356,0.0003703141,0.0001614629,0.0003407417],"domain_scores_gemma":[0.9993193,0.00005102647,0.0001073857,0.0003160392,0.00008893643,0.0001173243],"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":[0.00005902668,0.00003436719,0.000003140824,0.00004921231,0.000002908317,4.762969e-7,0.0000483893,0.006374234,0.98872,0.003634631,0.0009294492,0.0001441407],"study_design_scores_gemma":[0.0005891709,0.0002214356,0.000228083,0.00002436684,0.00001763449,0.00001000787,0.00004375336,0.008048857,0.9700779,0.00041247,0.01997399,0.0003523309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967982,0.00003431454,0.0295652,0.0003315727,0.0006796058,0.0006985657,0.0001096503,0.0003550869,0.0002440087],"genre_scores_gemma":[0.9906693,0.000005533263,0.007488217,0.00007157069,0.0005850689,0.0007062467,0.0001003611,0.00003609193,0.000337667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02268725,"threshold_uncertainty_score":0.6569212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090225189774655,"score_gpt":0.2379889556390203,"score_spread":0.2070867037412737,"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."}}