{"id":"W2890832693","doi":"10.1016/j.dental.2018.08.106","title":"Mechanical characterization of lithium-disilicate glass-ceramics by nanoindentation","year":2018,"lang":"en","type":"article","venue":"Dental Materials","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Nanoindentation; Materials science; Lithium disilicate; Characterization (materials science); Ceramic; Composite material; Lithium (medication); Glass-ceramic; 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":[0.0004256683,0.0003061967,0.0001824633,0.0008276028,0.0004407709,0.0002719043,0.0003625818,0.0003993221,0.003215382],"category_scores_gemma":[0.0004402205,0.0002808095,0.0002016726,0.0003531748,0.000580452,0.0003534701,0.0002502703,0.000350707,0.0004821548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287093,"about_ca_system_score_gemma":0.0002156909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008907461,"about_ca_topic_score_gemma":0.003170373,"domain_scores_codex":[0.9996179,0.00001639171,0.00003568478,0.00006069236,0.0002233393,0.00004605445],"domain_scores_gemma":[0.9996243,0.0001172964,0.00008446539,0.00005039957,0.00009603688,0.00002747685],"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":[0.00004137735,0.00001339529,0.0005072575,0.0000361577,0.000003235486,0.00003247925,0.00008103393,0.0001958593,0.996269,0.00008918835,0.00007331712,0.002657737],"study_design_scores_gemma":[0.000009153816,0.0001610806,0.01695272,0.000005857241,0.000009183485,0.00008586173,0.0001464196,0.002723424,0.977557,0.00006589447,0.002269252,0.00001413638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985504,0.0006142792,0.008926542,0.0001027155,0.00004333734,0.00007886248,0.001189022,0.0002396841,0.003301493],"genre_scores_gemma":[0.9920919,0.0001370283,0.005885659,0.00002945297,0.000009884789,0.00005646227,0.0004336811,0.00003635826,0.001319458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003215382,"threshold_uncertainty_score":0.01075649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009337976832426785,"score_gpt":0.2519236648419182,"score_spread":0.2425856880094914,"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."}}