{"id":"W1489881211","doi":"10.1002/jbm.b.33227","title":"Influence of oxidative nanopatterning and anodization on the fatigue resistance of commercially pure titanium and Ti–6Al–4V","year":2014,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part B Applied Biomaterials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Materials science; Anodizing; Titanium; Titanium alloy; Nanoporous; Nanotechnology; Metallurgy; Nanoscopic scale; Biomaterial; Scanning electron microscope; Alloy; Composite material","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":[0.0003814915,0.000330428,0.0001925379,0.0003069098,0.0001772215,0.0002500997,0.0002527235,0.0003780819,0.0008098723],"category_scores_gemma":[0.0008069175,0.0002151196,0.0002355568,0.0001794379,0.0002743521,0.0002626287,0.0001731329,0.0002726592,0.0001250999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152725,"about_ca_system_score_gemma":0.0001655805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324274,"about_ca_topic_score_gemma":0.003370269,"domain_scores_codex":[0.9997386,0.00003553564,0.00003154204,0.00005128995,0.00008761135,0.00005540675],"domain_scores_gemma":[0.9993555,0.00032249,0.0001456518,0.00004130381,0.00009449946,0.00004055528],"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":[0.00008843957,0.00001973824,0.0002090313,0.00003381057,0.000008390504,0.00002756629,0.00004134013,0.0001944792,0.9979174,0.00001422305,0.000008678505,0.001436899],"study_design_scores_gemma":[0.000005862328,0.0004336242,0.003796755,0.000003778101,0.00001733937,0.00004373962,0.00004318558,0.001176226,0.9941891,0.00001159295,0.0002717921,0.000007055623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987085,0.0005402187,0.0004025913,0.0000142522,0.000007486442,0.000009411079,0.00005281023,0.00001107629,0.0002537498],"genre_scores_gemma":[0.9979277,0.0003342509,0.001050217,0.00001775001,0.000005638562,0.00001368817,0.00008676339,0.00001471227,0.0005493278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001324274,"threshold_uncertainty_score":0.002709329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851563368391845,"score_gpt":0.2834823190673259,"score_spread":0.2549666853834074,"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."}}