{"id":"W1969945197","doi":"10.1061/(asce)1076-0342(2009)15:3(222)","title":"Subway Station Diagnosis Index Condition Assessment Model","year":2009,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Analytic hierarchy process; Ranking (information retrieval); Subway station; Index (typography); Transport engineering; Scale (ratio); Operations research; Engineering; Computer science; Geography; Artificial intelligence","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":[0.0002418592,0.0002120552,0.0003554818,0.0002489673,0.00006487643,0.0001065761,0.0001754899,0.0001527331,0.00001778636],"category_scores_gemma":[0.00002484851,0.000171037,0.00010807,0.0001592327,0.00001692933,0.0004979212,0.000007090281,0.0004720686,0.00000148827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003745034,"about_ca_system_score_gemma":0.00007471818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000358837,"about_ca_topic_score_gemma":8.929663e-7,"domain_scores_codex":[0.9984983,0.00003216543,0.0006777887,0.00009780619,0.0004323174,0.000261654],"domain_scores_gemma":[0.9990838,0.00002933476,0.0003289103,0.0001491767,0.0002939328,0.000114887],"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":[0.00001156181,0.000007093443,0.00511665,0.00005678941,0.00005659638,0.00002095852,0.0002809292,0.9728627,0.005305623,0.001221344,0.009498862,0.005560952],"study_design_scores_gemma":[0.002193923,0.000518809,0.2410014,0.0008341979,0.0001359607,0.0007394878,0.001280904,0.7229818,0.006573723,0.01705516,0.005877222,0.0008074099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6899981,0.0004145149,0.3030307,0.00006955187,0.003904052,0.0002121474,0.00002466501,0.00008821501,0.002258057],"genre_scores_gemma":[0.9950581,0.0001067401,0.003696073,0.00004878745,0.001036475,0.000005978856,0.000007736515,0.00002333139,0.0000167972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.30506,"threshold_uncertainty_score":0.6974685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004695816789847956,"score_gpt":0.2439784467724633,"score_spread":0.2392826299826153,"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."}}