{"id":"W2546338934","doi":"10.1017/s1431927616011843","title":"Surface and Mechanical Characterization of Dental Yttria-Stabilized Tetragonal Zirconia Polycrystals (3Y-TZP) After Different Aging Processes","year":2016,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Dental materials and restorations","field":"Dentistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of New Brunswick; University of Toronto","funders":"University of Toronto","keywords":"Materials science; Yttria-stabilized zirconia; Characterization (materials science); Tetragonal crystal system; Cubic zirconia; Composite material; Chemical engineering; Nanotechnology; Crystallography; Ceramic; Chemistry; Crystal structure","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":[0.0001380721,0.0002192791,0.0004466394,0.0001044947,0.000123661,0.0001688444,0.00009893651,0.0001132232,0.0004612024],"category_scores_gemma":[0.00003986169,0.0001470556,0.0000953394,0.0001829951,0.0001605143,0.0002404206,0.0001226377,0.00005282855,0.00001360654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478539,"about_ca_system_score_gemma":0.00003186529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000534307,"about_ca_topic_score_gemma":0.0001942094,"domain_scores_codex":[0.9986568,0.00009248497,0.0004781351,0.0003875298,0.0001586992,0.0002263263],"domain_scores_gemma":[0.9993433,0.00007671112,0.0002078059,0.0001851546,0.00008672902,0.0001002793],"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":[0.0001714564,0.0001049726,0.03536543,0.0001414426,0.0001285906,0.0000091062,0.00009502097,7.148115e-8,0.9635877,0.0000248129,0.0000100453,0.0003613381],"study_design_scores_gemma":[0.0009553995,0.00003882248,0.04215986,0.0001412693,0.000240999,0.00004688723,0.00009823866,0.000004935125,0.9557614,0.0000565126,0.0002872906,0.0002084196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961554,0.000715856,0.00205746,0.0001014882,0.0002187213,0.0001755695,0.0005416998,0.0000267574,0.000007088598],"genre_scores_gemma":[0.9983934,0.0004278196,0.000266264,0.00003295839,0.00005041225,0.00001355911,0.00007145262,0.00002197441,0.0007221664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007826349,"threshold_uncertainty_score":0.5996754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009189471701120057,"score_gpt":0.2572741346968215,"score_spread":0.2480846629957014,"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."}}