{"id":"W4389476810","doi":"10.1002/advs.202307011","title":"Boosting Energy Storage Performance of Glass Ceramics via Modulating Defect Formation During Crystallization","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Guilin University of Electronic Technology; National Natural Science Foundation of China; Guangxi Key Laboratory of Information Materials","keywords":"Materials science; Energy storage; Miniaturization; Pulsed power; Amorphous solid; Crystallization; Ceramic; Dielectric; Microstructure; Engineering physics; Power density; Optoelectronics; Nanotechnology; Electrical engineering; Power (physics); Composite material; Chemical engineering; Voltage; Engineering; Chemistry","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":[0.0009915517,0.0001492615,0.0002054382,0.0003040005,0.0005779181,0.00007839976,0.0003894166,0.00004510276,0.0000323732],"category_scores_gemma":[0.0003371543,0.0001441812,0.00003933763,0.002289312,0.0001531971,0.001663223,0.0001235272,0.00005617771,0.00002270266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607515,"about_ca_system_score_gemma":0.00009496256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002844881,"about_ca_topic_score_gemma":0.000004865086,"domain_scores_codex":[0.9979714,0.00005310591,0.0004483967,0.0003719225,0.0005839354,0.0005712252],"domain_scores_gemma":[0.9989933,0.00009758072,0.0003582645,0.0002705358,0.0002067044,0.00007363234],"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":[0.00002624988,0.000006973659,0.0001559288,0.00007448975,8.361665e-7,0.000001309437,0.0002484839,0.08567067,0.9080654,0.0003267267,0.000002114827,0.005420759],"study_design_scores_gemma":[0.0001519623,0.0000711913,0.001881549,0.00004067215,0.000003403349,0.000009997965,0.0000305486,0.3601145,0.6373577,0.0001983262,0.00001643342,0.0001237201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237606,0.00003456935,0.07511986,0.000009525156,0.0003141977,0.0001263868,0.000004482637,0.0002092555,0.0004211126],"genre_scores_gemma":[0.9971185,0.00006127459,0.002594149,0.00001813412,0.00004631896,0.00001848553,0.00001026954,0.00001553189,0.0001173882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744439,"threshold_uncertainty_score":0.5879537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009355933639753688,"score_gpt":0.228046101631952,"score_spread":0.2186901679921983,"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."}}