{"id":"W4246779034","doi":"10.1139/t11-068","title":"Geotechnical resistance factors for ultimate limit state design of deep foundations in frictional soils","year":2011,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Limit state design; Geotechnical engineering; Pile; Monte Carlo method; Probabilistic logic; Engineering; Limit analysis; Limit (mathematics); Structural engineering; Mathematics; Finite element method; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005515093,0.0002540158,0.0004130721,0.0006916892,0.0001394356,0.00003976412,0.0004425291,0.0002828685,0.0001528846],"category_scores_gemma":[0.0003700017,0.0002559587,0.0002457117,0.0006089117,0.00008156557,0.0001726687,0.00001894279,0.000755723,0.000007235773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000427373,"about_ca_system_score_gemma":0.0002124375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012463,"about_ca_topic_score_gemma":0.002713638,"domain_scores_codex":[0.9980337,0.00003671851,0.0007721243,0.0002285245,0.0002298313,0.0006990729],"domain_scores_gemma":[0.9986697,0.0002326141,0.0000948892,0.0002879925,0.0001175795,0.000597238],"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":[0.00001787429,0.00003127099,0.00005270566,0.00003042455,0.00006770973,0.00002435788,0.00008155912,0.9968681,0.0004882518,0.0006001507,0.0004157899,0.001321775],"study_design_scores_gemma":[0.0005731608,0.00010652,0.005253405,0.0001263484,0.00007963706,0.00004256974,0.00006217561,0.9794759,0.001066962,0.00906333,0.003627613,0.0005224519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01000043,0.0002508652,0.9887553,0.0001087332,0.0001828478,0.0002567585,0.00007395528,0.0001909249,0.0001801746],"genre_scores_gemma":[0.9823028,0.0001351399,0.01731939,0.0000262271,0.00004741356,0.00004124602,0.00001338626,0.00005321678,0.00006110901],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9723024,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896079221476479,"score_gpt":0.2149965294940136,"score_spread":0.1860357372792488,"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."}}