{"id":"W2036415868","doi":"10.1061/(asce)be.1943-5592.0000679","title":"Method for Analyzing Time-Series GPR Data of Concrete Bridge Decks","year":2014,"lang":"en","type":"article","venue":"Journal of Bridge Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada); Concordia University","funders":"Gran Sasso Science Institute","keywords":"Ground-penetrating radar; Rebar; Bridge (graph theory); Bridge deck; Nondestructive testing; Structural engineering; Deck; Time series; Geotechnical engineering; Geology; Reflection (computer programming); Series (stratigraphy); Radar; Engineering; Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0008716561,0.0001466629,0.0004402284,0.0001155251,0.0000272085,0.00002625788,0.0004164834,0.00005381935,0.000007181391],"category_scores_gemma":[0.0003279311,0.0001442295,0.0001385098,0.0001899249,0.00001435065,0.000263478,0.00005768142,0.0001924651,0.000004284735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002091639,"about_ca_system_score_gemma":0.0000142698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004603267,"about_ca_topic_score_gemma":2.904312e-7,"domain_scores_codex":[0.9989998,0.00002402365,0.0005148352,0.0001192482,0.0001372643,0.0002048455],"domain_scores_gemma":[0.9987999,0.0004563547,0.0001529542,0.0003641471,0.0001188051,0.0001078101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002798732,0.00001375078,0.00008774097,0.0004687782,0.000383786,0.000002774781,0.0001253504,0.2599531,0.6824148,0.001491504,0.004418814,0.05061161],"study_design_scores_gemma":[0.0004793594,0.00009081797,0.0101389,0.000142619,0.0001566876,0.00005149112,0.000005498259,0.9280855,0.02983093,0.0002762023,0.03047889,0.0002630746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04401466,0.0002290422,0.9552084,0.0000676335,0.0002067376,0.00008883198,0.00005796162,0.00004899346,0.00007779591],"genre_scores_gemma":[0.3939453,0.00004320764,0.6053037,0.00001052581,0.0006030421,0.000005712775,0.00001303727,0.00005065357,0.00002480812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6681324,"threshold_uncertainty_score":0.5881509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831185524289401,"score_gpt":0.2986671980140144,"score_spread":0.2703553427711204,"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."}}