{"id":"W4413295884","doi":"10.1016/j.compgeo.2025.107572","title":"Probabilistic analysis of slopes designed by the partial material factor approach","year":2025,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"China Railway","keywords":"Probabilistic logic; Geology; Reliability engineering; Geotechnical engineering; Factor (programming language); Structural engineering; Computer science; Statistics; Mathematics; Engineering; Programming language","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":[0.0005849322,0.0005575659,0.0006055543,0.00116387,0.0002934313,0.000683376,0.0005781929,0.0004062074,0.002348413],"category_scores_gemma":[0.002473769,0.0005065985,0.0009112087,0.0008243698,0.0005533593,0.0008359381,0.0003961837,0.0003954174,0.0003127446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754057,"about_ca_system_score_gemma":0.0004565687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520137,"about_ca_topic_score_gemma":0.00306585,"domain_scores_codex":[0.999626,0.0001136996,0.00001043311,0.00005849346,0.0001461845,0.00004502402],"domain_scores_gemma":[0.9991149,0.0004701329,0.000102983,0.0001085622,0.0001729072,0.00003041037],"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":[0.00007019032,0.00001513773,0.002344757,0.00004949001,0.00003275313,0.00006236537,0.00004044349,0.9392819,0.00433668,0.02296658,0.0003677777,0.03043195],"study_design_scores_gemma":[0.000003122323,0.00002376495,0.0009647866,0.000003747159,0.00001032524,0.00003147432,0.000007380631,0.9914348,0.0006652327,0.00648445,0.0003637512,0.000007097051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06760606,0.0001219027,0.9294009,0.00003402849,0.00001105038,0.00002089699,0.00006981233,0.0002192878,0.002516074],"genre_scores_gemma":[0.9373757,0.0001894443,0.05940083,0.00001428194,0.00002314569,0.00003040462,0.0001602397,0.0001232761,0.002682748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002520137,"threshold_uncertainty_score":0.00785625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005360702319136384,"score_gpt":0.1883918244760349,"score_spread":0.1830311221568985,"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."}}