{"id":"W2944209702","doi":"10.1139/cgj-2019-0043","title":"Characteristic strength of soils underlying foundations considering effect of spatial variability","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Bearing capacity; Geotechnical engineering; Spatial variability; Foundation (evidence); Eurocode; Strength reduction; Geology; Structural engineering; Mathematics; Finite element method; Engineering; Statistics; Law","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":[0.0006784786,0.0001747612,0.0004854147,0.0002991126,0.0000538657,0.00002963851,0.0002327403,0.0001828697,0.0003694265],"category_scores_gemma":[0.000466031,0.0001680993,0.0002154437,0.0002652525,0.00006737897,0.00008562102,0.00002142583,0.0006041763,0.0000157325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026345,"about_ca_system_score_gemma":0.0001619165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941405,"about_ca_topic_score_gemma":0.0002652154,"domain_scores_codex":[0.9986656,0.00006103121,0.0005706653,0.0001455095,0.0001975576,0.000359663],"domain_scores_gemma":[0.9988342,0.000353513,0.00009788972,0.0003224028,0.00007756711,0.000314411],"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":[0.00000922849,0.00001642296,0.001708744,0.0003177479,0.0001921215,0.00001738397,0.00002282867,0.9520354,0.02106065,0.0003049747,0.00003204768,0.02428242],"study_design_scores_gemma":[0.000709346,0.0002745522,0.0157605,0.0003523919,0.0002063543,0.0001228645,0.00001783096,0.9755046,0.0044125,0.0005235661,0.001692293,0.0004232021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8562024,0.00008826462,0.1424934,0.0000858528,0.0004094523,0.0001892906,0.00004636345,0.0001216165,0.0003633951],"genre_scores_gemma":[0.9995855,0.00002002124,0.0003019497,0.000007637816,0.00003697372,0.000003675686,0.000007897538,0.00002506121,0.00001126698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1433831,"threshold_uncertainty_score":0.6854892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008951856536528021,"score_gpt":0.2178599658364068,"score_spread":0.2089081092998788,"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."}}