{"id":"W4384824039","doi":"10.1080/15732479.2023.2236599","title":"Mapping the chloride-induced corrosion damage risks for bridge decks under climate change","year":2023,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Corrosion; Bridge (graph theory); Durability; Environmental science; Climate change; Computer science; Projection (relational algebra); Reinforced concrete; Structural engineering; Engineering; Forensic engineering; Materials science; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004502319,0.0003967616,0.000194543,0.00100421,0.0001533308,0.000555092,0.0003222979,0.0004694135,0.0005309942],"category_scores_gemma":[0.0009221195,0.0001753507,0.0004253735,0.00057373,0.0002008685,0.000420928,0.000367205,0.0002163818,0.000125787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873446,"about_ca_system_score_gemma":0.0004275246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02580944,"about_ca_topic_score_gemma":0.041878,"domain_scores_codex":[0.9998249,0.0000332885,0.00000854546,0.00005200525,0.00005180037,0.00002940592],"domain_scores_gemma":[0.9996732,0.00008550689,0.00008240325,0.00003754813,0.0001013208,0.00002005399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001234273,0.00008431571,0.2081892,0.00009485722,0.00009348059,0.0003313236,0.0002382432,0.7527313,0.01339502,0.0007796405,0.0001813325,0.0237579],"study_design_scores_gemma":[0.000002972999,0.00009961834,0.1963832,0.000009872351,0.0000282995,0.0001091651,0.0002863014,0.7979416,0.004404284,0.0004243908,0.0002924968,0.00001783184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990673,0.00005030128,0.008134017,0.00002083152,0.000001953483,0.00001667867,0.0003215267,0.00004882914,0.000732798],"genre_scores_gemma":[0.9973795,0.00003998752,0.002164975,0.000001560072,8.008766e-7,0.000003535595,0.0001834157,0.000003675014,0.0002226264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02580944,"threshold_uncertainty_score":0.05131841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613867872579489,"score_gpt":0.2575526745388897,"score_spread":0.2114139958130949,"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."}}