{"id":"W2313835328","doi":"10.1139/cgj-2012-0477","title":"Estimating long-term settlement of floating stone column groups","year":2014,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Column (typography); Settlement (finance); Finite element method; Geotechnical engineering; Parametric statistics; Group (periodic table); Foundation (evidence); Term (time); Structural engineering; Engineering; Geology; Mathematics; Connection (principal bundle); Computer science; Statistics; Geography; Chemistry; Archaeology","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":[0.0006095339,0.0001668551,0.000260256,0.00020311,0.0001356132,0.0000537488,0.0002670028,0.0001804023,0.0001053569],"category_scores_gemma":[0.0003420485,0.0001800486,0.00009548668,0.0002573394,0.00005293074,0.00009400591,0.00002392379,0.0005891679,0.00001128577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055706,"about_ca_system_score_gemma":0.00007885378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005393428,"about_ca_topic_score_gemma":0.001129943,"domain_scores_codex":[0.9985793,0.00003337737,0.0005264555,0.0001374311,0.0002451403,0.0004783376],"domain_scores_gemma":[0.9989632,0.000074389,0.0000725167,0.0002364305,0.00008826561,0.0005652019],"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":[0.000001007858,0.0000074,0.000440969,0.00006643477,0.00001717354,0.00001040731,0.00003138413,0.975943,0.0008384803,0.0002695494,0.0002894073,0.02208481],"study_design_scores_gemma":[0.0002949738,0.00007980516,0.01237507,0.0002044336,0.00002416586,0.0001298979,0.00001100526,0.9850055,0.0002604059,0.0003546021,0.001007477,0.0002526914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3301713,0.000153406,0.6680156,0.0001892438,0.0006073201,0.0001462606,0.00001874761,0.0002740661,0.0004240336],"genre_scores_gemma":[0.994976,0.00001188359,0.004649985,0.00004708932,0.0002433481,0.000004438659,0.00001328626,0.00004143233,0.00001251125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6648047,"threshold_uncertainty_score":0.7342167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007087826381819456,"score_gpt":0.2029522623848979,"score_spread":0.1958644360030785,"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."}}