{"id":"W1981963773","doi":"10.1139/t08-082","title":"Reliability measures for pile foundations based on cone penetration test data","year":2008,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pile; Serviceability (structure); Geotechnical engineering; Cone penetration test; Limit state design; Monte Carlo method; Penetration test; Structural engineering; Engineering; Random variable; Statistics; Mathematics; Subgrade","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005430112,0.0001651957,0.000212248,0.0002523293,0.000362343,0.00006570182,0.00050478,0.0001833709,0.0001022301],"category_scores_gemma":[0.001734784,0.000162603,0.0001188219,0.0003097799,0.00007280734,0.0001492804,0.00001378773,0.0005697724,0.0000263622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003168937,"about_ca_system_score_gemma":0.0003612582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009567515,"about_ca_topic_score_gemma":0.001267939,"domain_scores_codex":[0.9987341,0.00001921432,0.0003644762,0.0002382016,0.00024173,0.0004023108],"domain_scores_gemma":[0.9982487,0.0002955054,0.00003541675,0.0006878753,0.0001411216,0.0005913884],"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":[0.000003195049,0.00002469061,0.00006000991,0.000009897474,0.00001440847,0.00001458884,0.000002815889,0.9823323,0.0003736307,0.00003929184,0.01485799,0.002267161],"study_design_scores_gemma":[0.0002659881,0.00008037966,0.002319905,0.00002584147,0.00003425454,0.00005646194,0.000002972959,0.9036033,0.0000614758,0.0001542458,0.09320487,0.0001903641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003286184,0.0001241899,0.9927914,0.001966496,0.0003003286,0.0002886929,0.0004021543,0.000400597,0.0004400065],"genre_scores_gemma":[0.9956575,0.00005353584,0.003576312,0.0002118408,0.0002304407,0.00002015643,0.0001594575,0.0000332682,0.00005745906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9923713,"threshold_uncertainty_score":0.6630757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358948637087634,"score_gpt":0.2339780005079282,"score_spread":0.2003885141370519,"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."}}