{"id":"W2083891787","doi":"10.3390/s120201898","title":"Fiber Bragg Grating Sensors for Harsh Environments","year":2012,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":810,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Fiber Bragg grating; Optical fiber; Materials science; Optics; Electromagnetic interference; Fiber optic sensor; Laser; Instrumentation (computer programming); Optoelectronics; Computer science; Electronic engineering; Physics; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000210386,0.001061078,0.001881501,0.0002494845,0.0001314494,0.00004805059,0.0003396667,0.0007149047,0.0002550006],"category_scores_gemma":[0.00009067489,0.001026906,0.0007850579,0.000253304,0.00008948841,0.0001571874,0.00007008378,0.00069515,0.001741613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003782948,"about_ca_system_score_gemma":0.00002250763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002077352,"about_ca_topic_score_gemma":0.000001263022,"domain_scores_codex":[0.996815,0.00008760071,0.0009700166,0.000627187,0.0003370231,0.001163229],"domain_scores_gemma":[0.9979735,0.0005902726,0.0002702995,0.0008479856,0.00001821675,0.0002997053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000256373,0.00002359118,7.767981e-7,0.008551968,0.0004187746,0.00001610534,0.0001679899,0.01059843,0.000007391472,0.00004594454,0.0008394743,0.979327],"study_design_scores_gemma":[0.0001981388,0.00001797345,9.904393e-7,0.001740012,0.0008658126,0.00008284799,0.00003390309,0.00130913,0.00003748313,0.00001998446,0.9946525,0.001041254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001573816,0.9932902,0.0003374892,0.000004557882,0.001199871,0.001692245,0.0003885414,0.0005248061,0.002404835],"genre_scores_gemma":[0.00001416692,0.9759437,0.01059262,0.00001395231,0.0009011058,0.0002185477,0.000295462,0.0006727164,0.01134767],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.993813,"threshold_uncertainty_score":0.9992181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04196882762611736,"score_gpt":0.2822954976509426,"score_spread":0.2403266700248252,"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."}}