{"id":"W4415394113","doi":"10.1139/cgj-2025-0419","title":"Mutation-aware hybrid model for prediction of long-term ground settlement with uncertainty incorporated","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Settlement (finance); Interval (graph theory); Predictive modelling; Empirical modelling; Empirical research; Ensemble forecasting; Prediction interval; Approximation error","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534379,0.0006844139,0.0006681367,0.0005103128,0.0003039562,0.0006768632,0.001125932,0.0008941512,0.0009101744],"category_scores_gemma":[0.001405168,0.0003394128,0.0005731108,0.0004346158,0.0004970943,0.000861059,0.0006721737,0.0009532202,0.0001726194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007857719,"about_ca_system_score_gemma":0.0007608815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648523,"about_ca_topic_score_gemma":0.01222809,"domain_scores_codex":[0.9998216,0.00003102491,0.00001248103,0.00006604944,0.00003778016,0.00003106671],"domain_scores_gemma":[0.9995446,0.0002359339,0.00006519579,0.00002299314,0.0001109757,0.0000204055],"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":[0.00002194485,0.00001077706,0.001127837,0.00000714962,0.00001482196,0.00003540495,0.0000181314,0.9892817,0.0007825595,0.0005996429,0.0001370464,0.007962992],"study_design_scores_gemma":[6.798289e-7,0.000002998943,0.0001019084,6.18156e-7,0.000001727981,0.000003081265,0.000001095981,0.9996006,0.00008147071,0.0001831068,0.00002148082,0.000001161602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3163378,0.0004642257,0.6785744,0.0004079312,0.0000909486,0.00003569668,0.0002570955,0.0009500482,0.002881777],"genre_scores_gemma":[0.9863169,0.00007214354,0.01226527,0.00004224227,0.00001190313,0.00003219233,0.0001096635,0.00001938069,0.001130362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01648523,"threshold_uncertainty_score":0.0327785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009167854008478167,"score_gpt":0.2171102119420399,"score_spread":0.2079423579335617,"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."}}