{"id":"W3189819774","doi":"10.1016/j.jmbbm.2021.104690","title":"Nanoscale physico-mechanical properties of an aging resistant ZTA composite","year":2021,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Materials science; Nanoindentation; Composite material; Scanning electron microscope; Microstructure; Composite number; Monoclinic crystal system; Surface roughness; Ceramic; Nanocrystalline material; Cubic zirconia; Elastic modulus; Crystal structure; Crystallography; Nanotechnology","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":[0.0001362624,0.0001259999,0.0001301611,0.0002872312,0.0001969774,0.0001960787,0.0001887327,0.0002829738,0.00279145],"category_scores_gemma":[0.000267285,0.0001342943,0.0001196237,0.0001747307,0.0001771761,0.000165755,0.00007150904,0.0002624222,0.000348131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508071,"about_ca_system_score_gemma":0.0001143869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007208085,"about_ca_topic_score_gemma":0.00103354,"domain_scores_codex":[0.9999,0.000004967736,0.000005534125,0.00002795737,0.00004434524,0.00001728729],"domain_scores_gemma":[0.9998136,0.00004383372,0.00004756009,0.00001306561,0.00005573579,0.00002615143],"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":[0.0001007202,0.00001131247,0.0001518816,0.00001611545,0.00000306579,0.00002373099,0.00001212508,0.00008799583,0.9989129,0.00003214028,0.00004856339,0.00059944],"study_design_scores_gemma":[0.00001387161,0.0002571141,0.01222302,0.000003905698,0.0000222973,0.00006188063,0.00003321715,0.001712955,0.9844444,0.00001934638,0.001199053,0.00000892752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996627,0.0003692149,0.001053514,0.00004776908,0.00003812314,0.000008847142,0.0002985514,0.00006882469,0.001488181],"genre_scores_gemma":[0.9975534,0.00007454318,0.0005110286,0.00001610714,0.00000516141,0.000007336549,0.0001431028,0.00001594404,0.001673453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00279145,"threshold_uncertainty_score":0.009338379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176282469922398,"score_gpt":0.2702891476869936,"score_spread":0.2485263229877696,"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."}}