{"id":"W2078009168","doi":"10.1139/l06-155","title":"Monitoring structures using long gauge length fibre optic sensors","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Strain gauge; Girder; Structural engineering; Optical fiber; Bending; Pipeline transport; Beam (structure); Vibrating wire; Displacement (psychology); Materials science; Fiber optic sensor; Gauge (firearms); Vibration; Structural health monitoring; Corrosion; Engineering; Composite material; Acoustics; Mechanical engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000275884,0.0003015673,0.0003454606,0.0007356378,0.00008290694,0.00006601861,0.0002523476,0.0001512392,0.00006443284],"category_scores_gemma":[0.0001503158,0.0003411084,0.0001295675,0.0003758585,0.0000341234,0.000355865,0.000009230068,0.0006136459,0.000003902494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590658,"about_ca_system_score_gemma":0.0001422729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001816049,"about_ca_topic_score_gemma":0.003828434,"domain_scores_codex":[0.9982503,0.000007646233,0.0005622983,0.0001324306,0.0002424695,0.0008048431],"domain_scores_gemma":[0.998556,0.0001150187,0.0000954408,0.0002153432,0.0001217135,0.0008965234],"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":[0.000002904863,0.000001038304,0.001384971,0.00005648242,0.00008268729,0.001011568,0.000355961,0.9898272,0.006389138,0.0001126709,0.000037206,0.0007381776],"study_design_scores_gemma":[0.004118343,0.0003708923,0.128487,0.004868965,0.000663002,0.02226742,0.003674071,0.647113,0.1664489,0.0007466394,0.01530585,0.005935963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313651,0.002762316,0.06247537,0.000008388274,0.002516264,0.00007518801,0.000005896105,0.00008825624,0.0007032117],"genre_scores_gemma":[0.9836835,0.00002602649,0.01524875,0.000004306637,0.0008916112,3.216416e-7,6.623175e-7,0.0001226322,0.0000221938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3427142,"threshold_uncertainty_score":0.9999041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118761877218614,"score_gpt":0.2155775271295363,"score_spread":0.2043899083573502,"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."}}