{"id":"W4384931411","doi":"10.3390/buildings13071834","title":"Intelligent Bridge Health Monitoring and Assessment","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Bridge (graph theory); Structural health monitoring; Engineering; Systems engineering; Computer science; Construction engineering; Structural engineering; Medicine","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":[0.0002394011,0.0001253176,0.000151641,0.0001401378,0.00009515019,0.00003834125,0.0001041777,0.00004727408,0.000003547369],"category_scores_gemma":[0.00001206841,0.0001311516,0.00002182662,0.0002646173,0.00001656425,0.00007866957,0.00006986879,0.0002044989,0.00001289243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235154,"about_ca_system_score_gemma":0.00002004427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461658,"about_ca_topic_score_gemma":7.872218e-7,"domain_scores_codex":[0.9991141,0.00001142514,0.0002036622,0.0001642421,0.0001485261,0.0003580256],"domain_scores_gemma":[0.9996206,0.00004743338,0.00002579166,0.0001513225,0.00001606341,0.0001387994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000002666749,0.000004398004,0.03706675,0.000580304,0.00002345153,0.00001123223,0.0008921743,0.0003815953,0.002335276,0.00161253,0.01202149,0.9450681],"study_design_scores_gemma":[0.0001089981,0.00007269413,0.9407609,0.0002467768,0.000003633723,0.0000158413,0.00008893577,0.003346939,0.01376519,0.001465564,0.0398595,0.0002650093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993718,0.0005601309,0.0009022968,0.0004013066,0.001117687,0.0001966255,0.000003480907,0.002861104,0.0002393282],"genre_scores_gemma":[0.9811263,0.002341568,0.01610564,0.00002216379,0.0002938033,0.0000360123,0.000002389292,0.0000388894,0.00003319892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9448031,"threshold_uncertainty_score":0.5348208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.051947796530861,"score_gpt":0.3715056346087142,"score_spread":0.3195578380778532,"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."}}