{"id":"W7090441425","doi":"10.1016/j.autcon.2025.106608","title":"Multi-objective optimization model for automated risk-based inspection planning for concrete bridges","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Gina Cody School of Engineering and Computer Science, Concordia University","keywords":"Automation; Operation planning; Bridge (graph theory); Expert system","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":[0.001749004,0.001263961,0.001256725,0.000786349,0.0004520982,0.001601078,0.001506657,0.001784413,0.004262673],"category_scores_gemma":[0.002836742,0.0008227912,0.001158102,0.000779576,0.0008034257,0.0009507386,0.001176325,0.001782549,0.0005790871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795251,"about_ca_system_score_gemma":0.002133945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335047,"about_ca_topic_score_gemma":0.01065718,"domain_scores_codex":[0.9993061,0.0002800581,0.00002909735,0.0001313042,0.0001644473,0.00008903119],"domain_scores_gemma":[0.9988524,0.0007483169,0.0001514968,0.00003271038,0.0001649944,0.00005006801],"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":[0.000005954847,0.00000673664,0.00005520072,0.000009311461,0.000005713584,0.000009738925,0.00000551171,0.9972709,0.00007033182,0.001604462,0.00007352732,0.0008824988],"study_design_scores_gemma":[0.000002145456,0.000005462739,0.00002652042,0.000001997119,0.000001977473,0.000001518111,0.000001861995,0.9992061,0.000029917,0.0006327018,0.00008827149,0.000001560926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01186443,0.0002285903,0.981286,0.0003027761,0.00002781095,0.00008242744,0.0001858626,0.0001793834,0.005842596],"genre_scores_gemma":[0.7795051,0.0006376487,0.2022356,0.0002315854,0.00005141376,0.0009817898,0.0005175527,0.000143197,0.01569613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01335047,"threshold_uncertainty_score":0.02654558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633670051335344,"score_gpt":0.2761565638797212,"score_spread":0.2598198633663678,"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."}}