{"id":"W4410797962","doi":"10.1016/j.ress.2025.111296","title":"Improved genetic programming modeling of slope stability and landslide susceptibility","year":2025,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Landslide; Genetic programming; Stability (learning theory); Slope stability; Computer science; Geotechnical engineering; Geology; Artificial intelligence; Machine learning","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":[0.001321912,0.0002392296,0.0004443551,0.00004153373,0.0001062686,0.00002554263,0.0002090996,0.0001882064,0.00005621741],"category_scores_gemma":[0.0001939607,0.000194155,0.0001218805,0.0003540296,0.0001027748,0.0001042254,0.0002190392,0.0002428244,0.000004049778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803769,"about_ca_system_score_gemma":0.00003503382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007560208,"about_ca_topic_score_gemma":0.00006821592,"domain_scores_codex":[0.9979546,0.0000815906,0.0007726763,0.0005939727,0.0002234678,0.0003736792],"domain_scores_gemma":[0.9989314,0.0001284377,0.00008688129,0.0006882847,0.00004159346,0.0001233719],"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":[0.0002631639,0.0001932016,0.3211586,0.003852117,0.00009547076,0.000003434074,0.0006543446,0.6406784,0.01688658,0.0002598326,0.00001051163,0.01594434],"study_design_scores_gemma":[0.0005288475,0.0000630974,0.06499693,0.0002393889,0.00006357922,0.000006116703,0.0001897111,0.9319091,0.00103662,0.00003307545,0.000677142,0.0002564403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123321,0.0002211615,0.08511983,0.00005692112,0.0002394151,0.0007486278,0.00001445606,0.0001936664,0.001073796],"genre_scores_gemma":[0.9898061,0.00003157809,0.01006423,0.000004443887,0.00001683766,0.00002639602,0.000004194831,0.00001650172,0.00002976127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912306,"threshold_uncertainty_score":0.7917413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004253058661254786,"score_gpt":0.1884968161907006,"score_spread":0.1842437575294459,"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."}}