{"id":"W2154619085","doi":"10.1139/t07-077","title":"Calibration of models for pile settlement analysis using 64 field load tests","year":2008,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serviceability (structure); Pile; Settlement (finance); Geotechnical engineering; Range (aeronautics); Regression analysis; Statistics; Structural engineering; Calibration; Engineering; 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":[0.001963647,0.0008801831,0.0004895868,0.0009461003,0.0003426224,0.0005722081,0.001086032,0.0004983289,0.001196868],"category_scores_gemma":[0.004389941,0.0004467366,0.0006590318,0.0008098388,0.0003514693,0.0006574647,0.0005986488,0.0003720477,0.0006718484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173755,"about_ca_system_score_gemma":0.0008450779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01592769,"about_ca_topic_score_gemma":0.01706689,"domain_scores_codex":[0.9993423,0.000176941,0.00005666614,0.000157856,0.000206088,0.00006011061],"domain_scores_gemma":[0.9981601,0.0007417924,0.0002684404,0.0003588093,0.0004347473,0.00003609621],"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":[0.0002184223,0.0001522245,0.04248363,0.00007691327,0.00006121532,0.0001391026,0.000156838,0.9070477,0.008367151,0.000371905,0.0003359815,0.04058879],"study_design_scores_gemma":[0.00001533283,0.00008700345,0.02202194,0.000007326177,0.00001394613,0.0000401166,0.0000611547,0.971962,0.005303941,0.0002365798,0.000230878,0.00001983819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666875,0.00005031054,0.1302564,0.00002768264,0.00001102,0.0001226552,0.0004476065,0.00104924,0.001347551],"genre_scores_gemma":[0.9816868,0.00003329415,0.01742339,0.000005308198,0.00000181514,0.0001032705,0.0003030263,0.00003119286,0.0004118175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01592769,"threshold_uncertainty_score":0.03166997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961860571171915,"score_gpt":0.220969251143656,"score_spread":0.2013506454319368,"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."}}