{"id":"W4321378763","doi":"10.1016/j.nocx.2023.100173","title":"Enhancing the optical performance of oxyfluoride glass ceramics by optimizing the oxide: Fluoride ratio and crystallinity for optical refrigeration","year":2023,"lang":"en","type":"article","venue":"Journal of Non-Crystalline Solids X","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation","keywords":"Materials science; Crystallinity; Ceramic; Oxide; Fluoride; Quantum yield; Photoluminescence; Laser; Optoelectronics; Analytical Chemistry (journal); Optics; Composite material; Metallurgy; Inorganic chemistry; Chemistry; Fluorescence","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":[0.001690024,0.0002652054,0.000538502,0.00006374655,0.0003898748,0.0001916913,0.0005592809,0.0001194032,0.00001364927],"category_scores_gemma":[0.0002711132,0.0001518938,0.00021662,0.0002549278,0.0003519245,0.000282503,0.0002663975,0.0004925233,0.000001480881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004050941,"about_ca_system_score_gemma":0.0001492484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008639495,"about_ca_topic_score_gemma":0.000001300471,"domain_scores_codex":[0.9976524,0.00005230042,0.001259819,0.0002235387,0.0003728788,0.0004391361],"domain_scores_gemma":[0.9977275,0.0007974941,0.000573414,0.0003611938,0.0004472383,0.00009314947],"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":[0.0007593884,0.0002707266,0.0006258327,0.0002878747,0.0004564197,0.000006257186,0.0004714325,0.03023041,0.9444001,0.01173784,0.003042993,0.007710773],"study_design_scores_gemma":[0.003566424,0.002668307,0.001268736,0.0006495074,0.0006793657,0.00007383226,0.005132108,0.4060918,0.5606433,0.01115145,0.007078713,0.0009965344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8189887,0.00008618602,0.1783769,0.001794155,0.0002413335,0.000350835,0.00002633784,0.00002961012,0.0001059969],"genre_scores_gemma":[0.9841551,0.0002132637,0.01467237,0.00006629283,0.0006973456,0.00002804903,0.00001625942,0.0000371339,0.0001141941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3837568,"threshold_uncertainty_score":0.6194049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540159713209518,"score_gpt":0.2637273873388121,"score_spread":0.2483257902067169,"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."}}