{"id":"W4411853398","doi":"10.1038/s41598-025-08526-w","title":"Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"Christian-Albrechts-Universität zu Kiel","keywords":"Durability; Mean squared error; Backpropagation; Corrosion; Mean absolute percentage error; Artificial neural network; Correlation coefficient; Soil water; Coefficient of determination; Environmental science; Geotechnical engineering; Computer science; Soil science; Materials science; Machine learning; Mathematics; Engineering; Statistics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003408499,0.0006405654,0.0003136398,0.0004755174,0.00009550758,0.0002973489,0.0003999551,0.0005205296,0.0001956417],"category_scores_gemma":[0.001069417,0.0002187629,0.0003424297,0.0002367885,0.0001890733,0.0003665167,0.0002104087,0.0002985143,0.00009123985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353348,"about_ca_system_score_gemma":0.0002323824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034562,"about_ca_topic_score_gemma":0.007290758,"domain_scores_codex":[0.9998567,0.00002396159,0.00001009322,0.00003502109,0.00006368617,0.00001049988],"domain_scores_gemma":[0.9995934,0.000133295,0.00007896883,0.00003123118,0.0001486703,0.00001439169],"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":[0.0002081164,0.0002246032,0.03065974,0.0002064442,0.00009770969,0.0001600978,0.00009087901,0.8491433,0.07312683,0.0002054587,0.0001688179,0.04570791],"study_design_scores_gemma":[0.000002299334,0.0001078633,0.012357,0.000005788856,0.000012341,0.00002179296,0.00002453292,0.9702712,0.01698759,0.0001159362,0.00008385313,0.000009827344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561325,0.0001568639,0.04281633,0.00003453779,0.00001054787,0.00002172715,0.0002055369,0.0001395774,0.0004825142],"genre_scores_gemma":[0.9954462,0.00006855087,0.004178897,0.000004418931,0.000001482321,0.00001037097,0.0001314479,0.000003408959,0.0001553814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004034562,"threshold_uncertainty_score":0.00802213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671888188228206,"score_gpt":0.2956819238896962,"score_spread":0.2789630420074141,"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."}}