{"id":"W2068811703","doi":"10.3390/fib2010092","title":"Reliable Lifetime Prediction for Passivated Fiber Bragg Gratings for Telecommunication Applications","year":2014,"lang":"en","type":"article","venue":"Fibers","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"Direction Générale de la Compétitivité, de l’Industrie et des Services","keywords":"Fiber Bragg grating; Materials science; PHOSFOS; Optical fiber; Fiber; Optoelectronics; Telecommunications; Optics; Plastic optical fiber; Computer science; Fiber optic sensor; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001370108,0.0001422846,0.0001466742,0.00006334379,0.0001557093,0.00002494695,0.0001669742,0.000118881,0.00001934092],"category_scores_gemma":[0.00009412014,0.0001593082,0.00006868662,0.0001682933,0.00002804469,0.0001410338,0.00001421747,0.000101422,0.00005588275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008633942,"about_ca_system_score_gemma":0.000009032664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003275925,"about_ca_topic_score_gemma":0.00000235674,"domain_scores_codex":[0.9991971,0.000009191524,0.0002652427,0.0001971674,0.00007799856,0.0002533408],"domain_scores_gemma":[0.9990004,0.0003135875,0.00006439228,0.000453826,0.0001021524,0.00006559586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008961147,0.00009656433,0.0001956018,0.0005908592,0.0002193499,8.092594e-8,0.0007377113,0.7232063,0.03229806,0.00774854,0.1390229,0.09579441],"study_design_scores_gemma":[0.0006595524,0.00007202278,0.00012762,0.00002872368,0.0000392378,0.000001760454,0.00003567332,0.2999835,0.00730189,0.002949719,0.688582,0.0002182901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009608602,0.0001133387,0.9793029,0.0006602994,0.0002831472,0.002628318,0.0001698088,0.00145941,0.005774138],"genre_scores_gemma":[0.2277872,0.00006650393,0.7557549,0.0002830799,0.0006775566,0.006594043,0.001696117,0.0002958858,0.006844732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5495591,"threshold_uncertainty_score":0.6496398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007492300934621555,"score_gpt":0.2210464124664707,"score_spread":0.2135541115318491,"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."}}