{"id":"W2063124001","doi":"10.1117/12.388132","title":"New generation of Fabry-Perot fiber optic sensors for monitoring of structures","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roctest (Canada)","funders":"","keywords":"Fabry–Pérot interferometer; Optical fiber; Fiber optic sensor; Materials science; Interferometry; Optics; Strain gauge; Optoelectronics; Structural health monitoring; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002579886,0.0003757614,0.0005676982,0.0001176241,0.00004958348,0.00004145172,0.0006288652,0.0002458869,0.00005874768],"category_scores_gemma":[0.0002845064,0.0003469593,0.0005955988,0.0002967202,0.0001384033,0.0004637571,0.00004810651,0.000248916,0.000001194625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407017,"about_ca_system_score_gemma":0.00002645225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008163624,"about_ca_topic_score_gemma":4.517836e-8,"domain_scores_codex":[0.9977041,1.719357e-8,0.0009705559,0.0003304945,0.0005930712,0.0004017692],"domain_scores_gemma":[0.9982722,0.0001517468,0.0002907073,0.00008379664,0.001073247,0.0001282379],"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":[0.0001232628,0.00005023645,0.0001338007,0.00112909,0.0006982517,7.160613e-8,0.0005081585,0.06074189,0.8169388,0.1104536,0.002189739,0.00703316],"study_design_scores_gemma":[0.001538296,0.0003289442,0.0003110766,0.00035415,0.0002590058,0.00001464899,0.0007277704,0.2468511,0.7455445,0.001554296,0.001991959,0.0005242742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970507,0.0001843025,0.0005565236,0.0001801185,0.0003130038,0.0006751313,0.00006856975,0.0001060844,0.0008655739],"genre_scores_gemma":[0.5533066,0.0001229691,0.4453356,0.000006915583,0.000660056,0.00007115116,0.000009944254,0.0001024475,0.0003842545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4447791,"threshold_uncertainty_score":0.9998983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511019836277343,"score_gpt":0.2369345241605214,"score_spread":0.221824325797748,"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."}}