{"id":"W2011220524","doi":"10.1117/12.2045428","title":"Distributed strain monitoring for bridges: temperature effects","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Transports","keywords":"Strain (injury); Computer science; Materials science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004859667,0.0004428365,0.0003861709,0.0004784525,0.0002603554,0.0004939398,0.0005837741,0.0006988685,0.001717562],"category_scores_gemma":[0.001171353,0.0001871966,0.0002332188,0.0005754012,0.0002821478,0.001160084,0.0004078761,0.0005037104,0.0004203415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035749,"about_ca_system_score_gemma":0.0001472712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220928,"about_ca_topic_score_gemma":0.003380586,"domain_scores_codex":[0.9994034,0.00007358679,0.00001354499,0.0001440783,0.0003296843,0.00003576648],"domain_scores_gemma":[0.9992775,0.0002114278,0.0001214665,0.0001200696,0.000240063,0.00002947633],"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":[0.0004216978,0.0002635454,0.0125848,0.00023379,0.00004931955,0.0002008569,0.000218624,0.01677113,0.8194977,0.0004100232,0.0006190637,0.1487295],"study_design_scores_gemma":[0.00004948025,0.001849729,0.1049639,0.00009927474,0.0001488655,0.001401029,0.0003779584,0.2140188,0.6703975,0.001279042,0.005291373,0.000123106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.829677,0.003268267,0.1589247,0.0005831027,0.0001558449,0.00008065528,0.000265155,0.0008509416,0.006194255],"genre_scores_gemma":[0.9805076,0.0005835055,0.01701126,0.00005988083,0.00004433271,0.00001903554,0.0001021083,0.00005367687,0.001618742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001717562,"threshold_uncertainty_score":0.005745828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009849428172253108,"score_gpt":0.2476086972322118,"score_spread":0.2377592690599587,"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."}}