{"id":"W3145655139","doi":"10.1016/j.engstruct.2021.112226","title":"Earth pressure distribution around flexible arch pipes","year":2021,"lang":"en","type":"article","venue":"Engineering Structures","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Culvert; Lateral earth pressure; Trench; Arch; Finite element method; Engineering; Geotechnical engineering; Structural engineering; Stiffness; Parametric statistics; Excavation; Compaction; Bridge (graph theory); Geology; Civil engineering; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006380927,0.0003622926,0.0003104784,0.00008132926,0.0000888793,0.0001369113,0.0002235391,0.0002298996,0.00009126627],"category_scores_gemma":[0.0001165833,0.0003703945,0.000130503,0.0003808762,0.00003042033,0.0001425234,0.00005585828,0.0005566147,0.000009341005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194336,"about_ca_system_score_gemma":0.00002797369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131594,"about_ca_topic_score_gemma":0.000001625368,"domain_scores_codex":[0.9985416,0.00001416192,0.0002815877,0.0003253329,0.0002909093,0.0005463987],"domain_scores_gemma":[0.9992304,0.00007566725,0.00001962109,0.0004482974,0.00006179613,0.0001642502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002813319,0.000004140421,0.00002228393,0.0001861536,0.000108526,0.0000231238,0.00003430255,0.9670573,0.01341517,0.01616721,0.001045047,0.001933967],"study_design_scores_gemma":[0.0007445659,0.00005090353,0.0290002,0.0001264907,0.0001315784,0.0003710507,0.00006958562,0.3612431,0.1462789,0.005928067,0.4545884,0.001467103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1427649,0.01103628,0.8333856,0.0001612541,0.003578265,0.0002813932,0.0002662566,0.006044331,0.002481621],"genre_scores_gemma":[0.9909201,0.00008972178,0.007729469,0.00002481274,0.0004132825,0.00001792307,0.0001760449,0.00007688418,0.0005517851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8481551,"threshold_uncertainty_score":0.9998748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004951745403096632,"score_gpt":0.1922941877808627,"score_spread":0.1873424423777661,"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."}}