{"id":"W4408673728","doi":"10.1016/j.eswa.2025.127280","title":"Expert evaluation system for pothole defect detection","year":2025,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Western University","keywords":"Pothole (geology); Computer science; Artificial intelligence","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":[0.004456904,0.001156173,0.0009070426,0.002007013,0.0003556625,0.001285195,0.001558068,0.001046447,0.02170982],"category_scores_gemma":[0.01274108,0.0002798431,0.0006597863,0.0006643159,0.0001992749,0.0009918687,0.0009344501,0.0007473725,0.008368261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007244211,"about_ca_system_score_gemma":0.001140798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003370339,"about_ca_topic_score_gemma":0.003613906,"domain_scores_codex":[0.9968371,0.0009047335,0.0004605698,0.0006016795,0.001048331,0.0001474476],"domain_scores_gemma":[0.9930691,0.002320193,0.0004335696,0.0006848823,0.003279723,0.0002127045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00179141,0.0005753703,0.004953845,0.001526965,0.000276593,0.0004824082,0.0002101722,0.03657203,0.02556472,0.004691085,0.1179537,0.8054017],"study_design_scores_gemma":[0.000539041,0.0007831805,0.008392093,0.0003397309,0.0001719532,0.0004897477,0.0002420562,0.8158019,0.03473097,0.008524168,0.1298024,0.0001828963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0290178,0.001261131,0.8564805,0.0008250177,0.000643861,0.002988397,0.01494463,0.0632614,0.03057733],"genre_scores_gemma":[0.4600354,0.0007982006,0.4903493,0.0008620924,0.0001792988,0.004032289,0.02073803,0.001875826,0.02112959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02170982,"threshold_uncertainty_score":0.07262659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00802648541540311,"score_gpt":0.2566418594261041,"score_spread":0.248615374010701,"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."}}