{"id":"W2311378349","doi":"10.1111/jace.14160","title":"Assessment of the Thermal Shock Resistance Figures of Merit of Al <sub>2</sub> W <sub>3</sub> O <sub>12</sub> , a Low Thermal Expansion Ceramic","year":2016,"lang":"en","type":"article","venue":"Journal of the American Ceramic Society","topic":"Thermal Expansion and Ionic Conductivity","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Dalhousie University; Canada Foundation for Innovation","keywords":"Thermal shock; Materials science; Composite material; Microstructure; Flexural strength; Ceramic; Thermal expansion; Ultimate tensile strength; Figure of merit; Thermal resistance; Thermal; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003463627,0.0002838679,0.0002181713,0.0005156172,0.0001431768,0.0003329602,0.0001896002,0.0004346377,0.0007323697],"category_scores_gemma":[0.0006384797,0.0002273319,0.0001757013,0.000267798,0.0002159523,0.0002194651,0.0001530528,0.0002339852,0.0001481947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002228694,"about_ca_system_score_gemma":0.0001091056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006619602,"about_ca_topic_score_gemma":0.001400214,"domain_scores_codex":[0.9998167,0.00001809242,0.00001226599,0.0000290616,0.00009870088,0.00002519172],"domain_scores_gemma":[0.9995663,0.0001047049,0.0001355227,0.00002574404,0.0001374137,0.00003041169],"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":[0.0001107252,0.000008160848,0.001316441,0.0000316791,0.000008648244,0.00005488267,0.0000403149,0.0005559881,0.9960247,0.00004004452,0.00002221359,0.001786077],"study_design_scores_gemma":[0.000008142917,0.0005603122,0.04611233,0.000008124347,0.00004721105,0.000205716,0.0001654424,0.005911547,0.9460109,0.0000462765,0.0009067453,0.0000172018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977673,0.0002930973,0.001226524,0.00001247957,0.000003966646,0.000008701762,0.00008052625,0.00002818976,0.0005792794],"genre_scores_gemma":[0.9983992,0.000169864,0.0008223226,0.000005402057,0.000002807858,0.00001094178,0.00005734876,0.00001200164,0.0005201022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007323697,"threshold_uncertainty_score":0.002449989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018680781571458,"score_gpt":0.249012043496456,"score_spread":0.2388252356807414,"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."}}