{"id":"W2153101188","doi":"10.1139/cgj-2014-0307","title":"Sliding stability analysis of gravity dam founded on rock mass with impersistent joint set","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rock mass classification; Gravity dam; Parametric statistics; Geotechnical engineering; Joint (building); Foundation (evidence); Geology; Structural engineering; Stability (learning theory); Safety factor; Engineering; Finite element method; Mathematics; Computer science","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":[0.0004052117,0.0004528357,0.0003786854,0.0009043485,0.0004437926,0.0004879406,0.0004951176,0.0004680248,0.001163586],"category_scores_gemma":[0.0008543969,0.0001893379,0.0005157912,0.0002159797,0.00101606,0.0003456561,0.0006475816,0.0002846322,0.0001091873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006680294,"about_ca_system_score_gemma":0.0007957974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265131,"about_ca_topic_score_gemma":0.005234495,"domain_scores_codex":[0.9998635,0.00002228691,0.000005946201,0.00002545876,0.00004372735,0.00003899062],"domain_scores_gemma":[0.999693,0.0001014865,0.00007440331,0.00002121406,0.00007428527,0.00003562238],"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":[0.0001970571,0.00002691051,0.004844274,0.00005634618,0.0000320859,0.0004277356,0.0001177694,0.96274,0.02086158,0.006090418,0.0001879231,0.004417821],"study_design_scores_gemma":[0.000003826508,0.00004334172,0.001084968,0.000003163718,0.000007963384,0.00002121045,0.00003241189,0.997018,0.001328587,0.0003815359,0.00006929627,0.000005801314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565744,0.0001126641,0.03884422,0.00005346096,0.00001117173,0.00001859458,0.00006251413,0.0001013934,0.004221544],"genre_scores_gemma":[0.9989138,0.0000229043,0.0006453233,0.000001776015,9.921205e-7,0.000004642082,0.00001310102,0.000004110104,0.0003934806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265131,"threshold_uncertainty_score":0.02515537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539303784353897,"score_gpt":0.215069999628143,"score_spread":0.1796769617846041,"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."}}