{"id":"W2364154497","doi":"","title":"The performance research on flexible mobile road structure curvature sensor based on FBG","year":2014,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Portage College","funders":"","keywords":"Curvature; Fiber Bragg grating; Road surface; Track (disk drive); Structural engineering; Casing; Acoustics; Wavelength; Engineering; Materials science; Mechanical engineering; Geometry; Mathematics; Physics; Optoelectronics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004261624,0.0004019974,0.0002579534,0.0002544686,0.0005617584,0.00009411668,0.000584445,0.000280929,0.00009147667],"category_scores_gemma":[0.0001701249,0.0002674436,0.00009828512,0.0006491318,0.0001866751,0.00005103034,0.00005530797,0.002322427,0.0001755471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012904,"about_ca_system_score_gemma":0.00002971754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003411146,"about_ca_topic_score_gemma":0.00001138423,"domain_scores_codex":[0.9973477,0.0001840217,0.0002380221,0.0004853911,0.0008128961,0.000931935],"domain_scores_gemma":[0.9977273,0.0007848758,0.00003838251,0.001178342,0.00009787084,0.0001732716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001032819,0.00001297974,0.00005264338,0.0000637517,0.00001882362,0.000004545002,0.000266371,0.919404,0.004305359,0.0001628873,0.001396073,0.07420924],"study_design_scores_gemma":[0.001170158,0.001036927,0.004655052,0.0003201762,0.00001917433,0.00003051038,0.0002017967,0.5131435,0.06488393,0.002205386,0.4113903,0.0009430737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763607,0.0002816633,0.001787805,0.0007838403,0.0009592173,0.0009554732,0.00007997042,0.0008840801,0.01790722],"genre_scores_gemma":[0.9949329,0.0000315293,0.00260703,0.0004190871,0.0006504644,0.00008203,0.00002909099,0.0001406532,0.0011072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4099942,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363872607591537,"score_gpt":0.2728579035616989,"score_spread":0.2592191774857835,"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."}}