{"id":"W398429716","doi":"","title":"Location-Based Bridge Inspection Decision-Support System","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Joint CIB W78, W102, ICCCBE, ICCC, and DMUCE International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 14-16 June","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Usability; Computer science; Data collection; Process (computing); Java; Data mining; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004070169,0.0003621398,0.0004090971,0.0003947224,0.0001905706,0.000216752,0.0002660445,0.0001305148,0.000003472544],"category_scores_gemma":[0.0001861221,0.0003072421,0.00006011624,0.0002986341,0.00006032547,0.0001634873,0.0001309892,0.0003707026,2.920445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003950359,"about_ca_system_score_gemma":0.00009698909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01471906,"about_ca_topic_score_gemma":0.02100495,"domain_scores_codex":[0.997931,0.000006011775,0.0006749677,0.0004447917,0.0005785531,0.0003646562],"domain_scores_gemma":[0.9989436,0.0002197975,0.0002274643,0.0001413286,0.0003729697,0.00009479235],"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":[0.0003841621,0.0001306481,0.0326571,0.001902814,0.0001885957,0.00005146971,0.0005717385,0.7610536,0.009644547,0.05015423,0.02115418,0.1221069],"study_design_scores_gemma":[0.001031878,0.00005496915,0.1358105,0.004674285,0.00002887296,0.00009236488,0.0001917626,0.8530591,0.001951165,0.001807795,0.0008187643,0.0004785644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942111,0.0004430389,0.05176758,0.000152041,0.002385058,0.0002397483,0.00001922558,0.0002172592,0.002665087],"genre_scores_gemma":[0.9959777,0.00006092262,0.003513136,0.00004681981,0.0003184492,0.000009542798,0.000003307747,0.00003824473,0.00003189541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216284,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00717411933568788,"score_gpt":0.2128134718007967,"score_spread":0.2056393524651088,"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."}}