{"id":"W2966776160","doi":"10.1680/icsic.64669.533","title":"Evaluation of a Railway Bridge Using Distributed and Discrete Strain Sensors","year":2019,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Pacific Railway (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Bridge (graph theory); Computer science; Strain (injury); Structural engineering; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004759827,0.0004076699,0.0003586494,0.0003793658,0.0002126984,0.0004051773,0.0005553566,0.0005749051,0.0007606825],"category_scores_gemma":[0.0006688515,0.0001866937,0.0001825865,0.0002808925,0.0002586234,0.0004267335,0.0002937087,0.0002088032,0.0001618613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652135,"about_ca_system_score_gemma":0.0002619479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072064,"about_ca_topic_score_gemma":0.009892266,"domain_scores_codex":[0.999604,0.00004506913,0.00001509801,0.00009511145,0.0002078559,0.00003282941],"domain_scores_gemma":[0.9997135,0.00006534582,0.00002950686,0.00002599,0.0001349125,0.0000306958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009154538,0.0006097647,0.05025891,0.000231084,0.00006465381,0.0003914954,0.0005102458,0.03671281,0.8396322,0.0002176446,0.0003262373,0.07012945],"study_design_scores_gemma":[0.0002012139,0.01038945,0.2548096,0.00004919235,0.0001887796,0.0005292074,0.001249742,0.3924385,0.3381509,0.000211169,0.001697619,0.00008464714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923435,0.00002856308,0.006785327,0.00001662326,0.000007273274,0.0000239027,0.0000709668,0.00005723138,0.000666563],"genre_scores_gemma":[0.9961169,0.00002864371,0.003216145,0.000009112483,0.000002135379,0.00001431898,0.00006315998,0.00000400651,0.0005456879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004072064,"threshold_uncertainty_score":0.008096755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185120953159441,"score_gpt":0.2455467933251531,"score_spread":0.227034698009209,"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."}}