{"id":"W2939614960","doi":"10.1139/cgj-2018-0754","title":"Statistical evaluation of model factors in reliability calibration of high-displacement helical piles under axial loading","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serviceability (structure); Pile; Limit state design; Structural engineering; Geotechnical engineering; Displacement (psychology); Load factor; Safety factor; Mathematics; Engineering","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":[0.001169944,0.0001632246,0.0003484691,0.0002791272,0.00002624671,0.00001677804,0.0001937641,0.0002929456,0.0001531311],"category_scores_gemma":[0.0003189672,0.0001594347,0.0000781018,0.0002260447,0.00004131035,0.0001149886,0.00002116204,0.0006467204,0.00000283817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007625213,"about_ca_system_score_gemma":0.0004283243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647325,"about_ca_topic_score_gemma":0.001373086,"domain_scores_codex":[0.9981447,0.00007673429,0.0006767666,0.0001739488,0.0005654838,0.0003623013],"domain_scores_gemma":[0.9990728,0.0001174191,0.00006848199,0.0002492293,0.0001415366,0.0003505694],"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":[0.000009754216,0.00002246286,0.0001343571,0.00004371117,0.00001199644,0.000001334373,0.00002606849,0.991855,0.002004264,0.005156513,0.00006119267,0.000673397],"study_design_scores_gemma":[0.0005094972,0.00008052377,0.003989955,0.00008263949,0.00003011917,0.000006572742,0.00004005753,0.986329,0.001600916,0.007158737,0.00001839298,0.0001536148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7952593,0.00004061697,0.2040548,0.00008132463,0.0002231319,0.0002126482,0.00005126985,0.00003521183,0.00004166923],"genre_scores_gemma":[0.9989561,0.00001802515,0.0009302705,0.00001403899,0.00002592323,0.000006496507,0.00001973784,0.00002497922,0.000004371122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2036969,"threshold_uncertainty_score":0.6501557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925479406460098,"score_gpt":0.2384097877077378,"score_spread":0.2191549936431368,"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."}}