{"id":"W4409074740","doi":"10.1016/j.materresbull.2025.113458","title":"Improving laser performance at 1081 nm in Yb3+-doped tellurite glasses with low threshold","year":2025,"lang":"en","type":"article","venue":"Materials Research Bulletin","topic":"Glass properties and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Excellence Research Chairs, Government of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Doping; Materials science; Laser; Optoelectronics; Optics; Physics","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":[0.0002518513,0.000516939,0.0005719382,0.0003519073,0.0006723762,0.0008277048,0.0006353889,0.0006321772,0.00236976],"category_scores_gemma":[0.0004455543,0.0003124171,0.0002575716,0.0005133252,0.0003616586,0.00072365,0.000467515,0.0004090072,0.0009898249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009185839,"about_ca_system_score_gemma":0.0005809842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004174268,"about_ca_topic_score_gemma":0.006774235,"domain_scores_codex":[0.9997192,0.00002205473,0.00001732222,0.00005924212,0.00009309372,0.00008910377],"domain_scores_gemma":[0.999674,0.00008823402,0.00007646906,0.00002083806,0.00008097952,0.00005938912],"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":[0.0002078037,0.00002488443,0.0005177226,0.00006450752,0.000009932498,0.00003742909,0.00006035006,0.0002949509,0.9972636,0.00009405636,0.0001071698,0.001317612],"study_design_scores_gemma":[0.00002140429,0.0002712902,0.00140835,0.000008192566,0.0000264542,0.00003623883,0.00003125431,0.002245968,0.9953653,0.00002088387,0.0005518019,0.00001289718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974975,0.0004981817,0.0006780876,0.00008528939,0.00001389829,0.000007314928,0.00006559013,0.0001485571,0.001005544],"genre_scores_gemma":[0.9963042,0.0004300917,0.0009729494,0.00002335222,0.00001916565,0.00001102772,0.0001421803,0.00007580862,0.002021347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004174268,"threshold_uncertainty_score":0.008299947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304938240448942,"score_gpt":0.285883853636966,"score_spread":0.2628344712324766,"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."}}