{"id":"W4205466551","doi":"10.1016/b978-0-12-818017-4.00022-7","title":"Post-processing soft glass optical fibers","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université Laval","funders":"","keywords":"Materials science; Optical fiber; Multi-mode optical fiber; All-silica fiber; Chalcogenide glass; Optoelectronics; Plastic optical fiber; Photonic-crystal fiber; Plastic-clad silica fiber; Fiber; Chalcogenide; Composite material; Optics; Fiber optic sensor","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":[0.00007693195,0.0006621283,0.000228777,0.0004130034,0.0002848431,0.001016047,0.0003934402,0.0003517022,0.03532987],"category_scores_gemma":[0.000118669,0.0002721411,0.0002093056,0.0004273405,0.0002456668,0.0008051171,0.0003164828,0.0007838783,0.01506986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943557,"about_ca_system_score_gemma":0.000290835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015781,"about_ca_topic_score_gemma":0.003256507,"domain_scores_codex":[0.9999099,0.000002521679,0.000002737367,0.00001371241,0.0000588135,0.00001235955],"domain_scores_gemma":[0.9999311,0.00001818259,0.000007380861,0.00001398202,0.00002461697,0.000004629117],"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":[0.00006856253,0.00005423231,0.0001475605,0.000421741,0.00001079798,0.0002293664,0.00009458147,0.00110477,0.5809108,0.009080215,0.01383083,0.3940465],"study_design_scores_gemma":[0.000007521889,0.0001438934,0.00200701,0.00008934598,0.00002007802,0.0007057567,0.00009233328,0.003809458,0.5514188,0.005014925,0.4366685,0.00002234493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1005761,0.01807109,0.211816,0.0009100284,0.003421211,0.0002069359,0.00101361,0.003088116,0.6608969],"genre_scores_gemma":[0.0578955,0.006060676,0.03211987,0.000250306,0.0002339434,0.00003633634,0.0005433848,0.0005095777,0.9023504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03532987,"threshold_uncertainty_score":0.1181902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009264796713425833,"score_gpt":0.200887259874957,"score_spread":0.1916224631615312,"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."}}