{"id":"W2127699856","doi":"10.1061/9780784412121.287","title":"Response of Strip Foundation on Spatially Random Elastic Foundation under Variable Column Loads","year":2012,"lang":"en","type":"article","venue":"GeoCongress 2012","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Foundation (evidence); Bending moment; Monte Carlo method; Structural engineering; Random variable; Geotechnical engineering; Beam (structure); Shear force; Spatial variability; Mathematics; Engineering; Statistics","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":[0.0006850334,0.0001734409,0.0002721318,0.0001793674,0.0000526694,0.00003484418,0.0001243008,0.000136922,0.0006457504],"category_scores_gemma":[0.0002182235,0.0001751945,0.00008104705,0.0002979887,0.00003588232,0.0003296451,0.00002256675,0.0001648879,0.0002529969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008292324,"about_ca_system_score_gemma":0.00002492101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005137234,"about_ca_topic_score_gemma":0.000004672685,"domain_scores_codex":[0.9988723,0.00007610476,0.0003221674,0.0001310922,0.0002434241,0.0003548799],"domain_scores_gemma":[0.9990616,0.0003742457,0.00007177235,0.0003007068,0.00007478388,0.0001168209],"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":[0.0003411402,0.00008806698,0.0001321498,0.00006990333,0.0001220379,4.995647e-7,0.00004368607,0.9652799,0.0262721,0.001154382,0.0004121843,0.006084003],"study_design_scores_gemma":[0.005636348,0.0002733452,0.02700934,0.0003252731,0.0005062572,0.00001097213,0.00006451516,0.8655915,0.02972945,0.000923768,0.06877901,0.001150236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.244914,0.0002582959,0.7513319,0.00008425184,0.001280691,0.0003140426,0.00002071372,0.0003811449,0.001414963],"genre_scores_gemma":[0.9980917,0.00001721892,0.0009310252,0.00001927233,0.0001396841,0.00003438485,0.00006739039,0.00003292516,0.0006663762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7531778,"threshold_uncertainty_score":0.7144222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009588738957373734,"score_gpt":0.2201243212043523,"score_spread":0.2105355822469785,"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."}}