{"id":"W2116110096","doi":"10.1680/geot.14.p.40","title":"Serviceability limit state design of deep foundations","year":2014,"lang":"en","type":"article","venue":"Géotechnique","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Serviceability (structure); Limit state design; Engineering; Settlement (finance); Geotechnical engineering; Civil engineering; Foundation (evidence); Probabilistic logic; Shallow foundation; Reliability (semiconductor); Forensic engineering; Computer science; Law; Bearing capacity","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":[0.0003527153,0.0001132329,0.0001870536,0.00009710051,0.00002502186,0.00001058454,0.0001663539,0.00009218476,0.00004054683],"category_scores_gemma":[0.00007598592,0.000115399,0.00006993415,0.0003239589,0.00002606584,0.00005357317,0.00002409156,0.0001633795,0.00001855143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000298409,"about_ca_system_score_gemma":0.000005361404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002406065,"about_ca_topic_score_gemma":0.000004938276,"domain_scores_codex":[0.9993501,0.00003195281,0.000232594,0.0001228414,0.00009649625,0.0001660463],"domain_scores_gemma":[0.9993976,0.00009911235,0.00002485248,0.0003719659,0.00005010376,0.00005641763],"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":[0.000001250957,0.00001465246,0.00001983236,0.00006253811,0.00001986304,2.37508e-7,0.00002569594,0.9708383,0.0123327,0.0002448297,0.00004245054,0.01639764],"study_design_scores_gemma":[0.00005922181,0.00003306728,0.0004091237,0.00001700583,0.00001986537,0.00000120705,0.000002559251,0.9595153,0.0336222,0.004754324,0.001423518,0.0001425619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006979594,0.00002204848,0.9913518,0.00005616423,0.00003231132,0.000120078,0.00000287533,0.0009403509,0.0004948081],"genre_scores_gemma":[0.9522323,0.00002522104,0.04761629,0.00001811465,0.00001615527,0.00003854053,0.000004939217,0.00002277262,0.00002569074],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9452527,"threshold_uncertainty_score":0.4705835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00833977102764058,"score_gpt":0.1979036067454226,"score_spread":0.1895638357177821,"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."}}