{"id":"W2896092573","doi":"10.1139/cgj-2018-0386","title":"Characterization of model uncertainty in predicting axial resistance of piles driven into clay","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pile; Geotechnical engineering; Monte Carlo method; Settlement (finance); Resistance Factors; Reliability (semiconductor); Probabilistic logic; Structural engineering; Statistics; Engineering; Geology; 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":[0.00217626,0.0006937575,0.0006158609,0.001413798,0.0002510037,0.000698472,0.00074136,0.0005554942,0.0005253347],"category_scores_gemma":[0.009048806,0.0003638482,0.0007082485,0.0007850103,0.0003165851,0.0007412007,0.0004892773,0.0003737548,0.0001340852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007240539,"about_ca_system_score_gemma":0.0005572235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007112601,"about_ca_topic_score_gemma":0.007403883,"domain_scores_codex":[0.9986678,0.0003247644,0.0001003967,0.0002069343,0.0005982744,0.0001019084],"domain_scores_gemma":[0.9938002,0.004048673,0.0005387771,0.0008253256,0.0007097788,0.00007719686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003569786,0.00008659664,0.03363309,0.00007952347,0.00007038008,0.0001314405,0.0001046333,0.9338504,0.01032706,0.0003185993,0.0001424245,0.02089891],"study_design_scores_gemma":[0.0000131163,0.0002725382,0.02095242,0.0000121615,0.00003477753,0.0001081705,0.00006681755,0.9638333,0.01420746,0.0002163456,0.0002494744,0.00003348835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641537,0.000100395,0.03393861,0.00002535098,0.000004897674,0.00002486243,0.0003224077,0.0003374389,0.001092237],"genre_scores_gemma":[0.9972045,0.00002247233,0.002403204,0.000003070554,0.000001096756,0.00001040421,0.0002514547,0.00001583685,0.00008796874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007112601,"threshold_uncertainty_score":0.01414239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006999821421363702,"score_gpt":0.1983718623433852,"score_spread":0.1913720409220215,"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."}}