{"id":"W2926365156","doi":"","title":"Tailored Degradation and Improved Biocompatibility of Magnesium Alloys for Resorbable Bone Fixation Products","year":2018,"lang":"en","type":"article","venue":"Ulster University Research Portal (Ulster University)","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Eidgenössische Technische Hochschule Zürich; Amt der NÖ Landesregierung; Ohio State University; Office of the President, University of California; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biocompatibility; Magnesium; Fixation (population genetics); Degradation (telecommunications); Dentistry; Materials science; Metallurgy; Medicine; Population; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002115089,0.0003260784,0.0002108563,0.0002369292,0.0001213561,0.0003740013,0.0002301125,0.0003292261,0.001280375],"category_scores_gemma":[0.0003060761,0.000193417,0.0001844598,0.000169493,0.000153234,0.0002260327,0.0001790747,0.0001857602,0.0005076521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000263496,"about_ca_system_score_gemma":0.0001493625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005405418,"about_ca_topic_score_gemma":0.001122833,"domain_scores_codex":[0.9998286,0.00002351182,0.00001565279,0.00003103826,0.00006509967,0.00003620482],"domain_scores_gemma":[0.9999094,0.00001589697,0.00003340459,0.000008583183,0.00002348402,0.000009311609],"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":[0.00007594565,0.000006479514,0.00006883998,0.00003807234,0.000002814663,0.00003031955,0.00002596757,0.00007434885,0.9979547,0.0000497748,0.00003341779,0.001639292],"study_design_scores_gemma":[0.000005043478,0.0001025665,0.0005764053,0.00000324768,0.000006141686,0.00004460081,0.00001125657,0.0003653057,0.9974682,0.00001139141,0.001402683,0.000003125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908566,0.003350166,0.003080301,0.00006538627,0.00003883248,0.00001975893,0.0001009935,0.00008448034,0.002403328],"genre_scores_gemma":[0.9951823,0.0006092045,0.001691842,0.00002734531,0.000006528964,0.00001243609,0.00008155428,0.00004527234,0.002343511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001280375,"threshold_uncertainty_score":0.004283249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722414431601167,"score_gpt":0.2663435664902606,"score_spread":0.219119422174249,"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."}}