{"id":"W1989649211","doi":"10.1061/9780784412442.356","title":"Frequency Analysis of Bridge Condition Explanatory Data Items for Customized Data Collection and Bridge Management","year":2012,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Bridge (graph theory); Computer science; Data collection; Data science; Data mining; Information retrieval; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003149178,0.0001015641,0.0002121275,0.0002360549,0.00004789751,0.00001739963,0.0002333394,0.00004413037,0.00002252499],"category_scores_gemma":[0.00001796361,0.00009648598,0.00002668942,0.0002805652,0.00001806478,0.0005622524,0.0001178478,0.00004648856,0.000001474367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004332224,"about_ca_system_score_gemma":0.000004538795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001263766,"about_ca_topic_score_gemma":0.00005259445,"domain_scores_codex":[0.9992954,0.00001089478,0.0002153269,0.0001846595,0.00009460725,0.0001991005],"domain_scores_gemma":[0.9991565,0.00004208161,0.00004472584,0.0006822846,0.00002737442,0.00004700637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002888521,0.0002280209,0.2231663,0.002686344,0.02115215,0.00001191838,0.002209271,0.006776753,0.02503738,0.01793152,0.637261,0.06325053],"study_design_scores_gemma":[0.002523763,0.00002544476,0.6693938,0.00005803751,0.003590142,0.00000864008,0.0003789786,0.3023005,0.003663945,0.0002084566,0.01730191,0.000546374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4690028,0.0009822567,0.5202913,0.00002458301,0.001964539,0.0008581398,0.001775385,0.0003722488,0.004728673],"genre_scores_gemma":[0.9920629,0.0001799226,0.005348431,0.00001584059,0.0001483914,0.00002067615,0.002142102,0.00001921447,0.00006256613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6199591,"threshold_uncertainty_score":0.3934584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04828481712851077,"score_gpt":0.2966882074539335,"score_spread":0.2484033903254227,"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."}}