{"id":"W2043113469","doi":"10.1061/(asce)gt.1943-5606.0000238","title":"Probabilistic Analysis of Coupled Soil Consolidation","year":2009,"lang":"en","type":"article","venue":"Journal of Geotechnical and Geoenvironmental Engineering","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Science Foundation","keywords":"Consolidation (business); Biot number; Compressibility; Monte Carlo method; Parametric statistics; Random field; Geotechnical engineering; Finite element method; Random variable; Mathematics; Statistics; Geology; Mechanics; Physics; Engineering; Structural engineering","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":[0.0002497983,0.0001707868,0.0004775929,0.0003045454,0.00001732971,0.00001206473,0.0001318142,0.0001353708,0.00001839274],"category_scores_gemma":[0.00007035641,0.0001589483,0.0001839864,0.0003728596,0.00003116332,0.0001032657,0.00002253977,0.0003175931,9.589888e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005986611,"about_ca_system_score_gemma":0.000004969068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000186169,"about_ca_topic_score_gemma":2.987686e-7,"domain_scores_codex":[0.9988663,0.000006763706,0.000585305,0.0001051998,0.0002403042,0.0001961784],"domain_scores_gemma":[0.9995315,0.00006445047,0.00009856934,0.0001498088,0.00001902294,0.0001366189],"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":[0.000008908473,0.00004400638,0.000002345682,0.00003226177,0.000189903,0.000007539969,0.00001601904,0.9885245,0.008372803,0.0003927726,0.00000657681,0.002402358],"study_design_scores_gemma":[0.0002779802,0.0002231559,0.009736493,0.00004570727,0.0004191309,0.00004268802,0.00001039467,0.9868056,0.001952547,0.0001479356,0.0001770941,0.0001612917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875067,0.0005831673,0.01158527,0.00005046197,0.00008918123,0.00006776945,0.000005736789,0.00008153491,0.00003010895],"genre_scores_gemma":[0.999301,0.0003483405,0.0002823214,0.00001261191,0.00003122527,0.000001511466,0.000004039702,0.00001395009,0.00000506589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01179416,"threshold_uncertainty_score":0.6481725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003557669011977348,"score_gpt":0.1708254129789238,"score_spread":0.1672677439669464,"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."}}