{"id":"W3135708508","doi":"10.2749/newyork.2019.1238","title":"Learnings from the past to design metallic bridges spanning centuries into the future","year":2019,"lang":"en","type":"article","venue":"Report","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Allowance (engineering); Bridge (graph theory); Engineering; Life span; Service (business); Forensic engineering; Business; Operations management; Gerontology; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004471577,0.0001235013,0.0001468018,0.00001384112,0.0001023919,0.00008006102,0.0001978742,0.00004838132,0.0002246412],"category_scores_gemma":[0.0001133681,0.00006884101,0.00007761822,0.0001194514,0.00002344338,0.00006368222,0.00007441019,0.0002157805,0.0001707451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003899231,"about_ca_system_score_gemma":0.00002022396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000170727,"about_ca_topic_score_gemma":0.00004319818,"domain_scores_codex":[0.9991879,0.00005018862,0.0002062583,0.0001979797,0.0001972481,0.0001604005],"domain_scores_gemma":[0.9991007,0.000194212,0.00004379184,0.0005642744,0.00004099683,0.00005601614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001227882,0.00002545319,0.6113043,0.0001207419,0.0002956187,0.0002801422,0.04283979,0.04366598,0.1303666,0.0006665741,0.07284836,0.0974637],"study_design_scores_gemma":[0.0001080751,0.0000269213,0.2491031,0.0000335125,0.00003917038,0.0000516527,0.003200035,0.002396545,0.005108575,0.0001470771,0.7395299,0.0002554873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990623,0.0009223952,0.004170145,0.002186669,0.0009126788,0.0002846796,0.000001182764,0.0002051484,0.0006940928],"genre_scores_gemma":[0.9980395,0.00003604558,0.0005008519,0.0002680322,0.0003650077,0.00001654838,0.000007390421,0.0000211619,0.000745414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6666815,"threshold_uncertainty_score":0.2807255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099967652001981,"score_gpt":0.2165442834848255,"score_spread":0.2055446069648056,"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."}}