{"id":"W4405401876","doi":"10.1016/j.aei.2024.103035","title":"Scalable probabilistic deterioration model based on visual inspections and structural attributes from large networks of bridges","year":2024,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Probabilistic logic; Scalability; Computer science; Reliability engineering; Data mining; Artificial intelligence; Engineering; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004789579,0.0001756803,0.0001686759,0.0001128953,0.00004369362,0.00006095756,0.00005620872,0.0000729445,0.00000238105],"category_scores_gemma":[0.00002783279,0.0001664067,0.00003382527,0.0001619059,0.00001614149,0.0004076297,0.0000187177,0.0002035133,0.000001278458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000941286,"about_ca_system_score_gemma":0.00001353388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002178065,"about_ca_topic_score_gemma":0.000001930834,"domain_scores_codex":[0.9992689,0.000002107168,0.0003078347,0.0000781202,0.0001093115,0.0002337596],"domain_scores_gemma":[0.999701,0.00006777864,0.00002554427,0.0001215095,0.00003662747,0.00004754463],"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":[0.000003934334,0.000001877213,0.00009108087,0.000271056,0.00001542189,7.017908e-7,0.0002171315,0.9943358,0.001313445,0.000856426,0.0000112239,0.00288187],"study_design_scores_gemma":[0.0001705757,0.00003672137,0.001509432,0.0002938333,0.00001751704,0.000001809277,0.00004093774,0.9955488,0.001911877,0.0001502575,0.000148327,0.0001699422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.368206,0.000137257,0.6307082,0.000003017621,0.0004659237,0.00009209637,0.00004637165,0.0003025071,0.00003861222],"genre_scores_gemma":[0.972813,0.00003318987,0.0269488,0.000009518799,0.00008921768,0.00001718492,0.00005586819,0.00003013554,0.000003139836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6046069,"threshold_uncertainty_score":0.678587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003863467655822659,"score_gpt":0.2090575693001669,"score_spread":0.2051941016443442,"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."}}