{"id":"W1545378225","doi":"10.1002/9781119019213.ch08","title":"Pipeline/Soil Interaction Modeling in Support of Pipeline Engineering Design and Integrity","year":2015,"lang":"en","type":"other","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Memorial University of Newfoundland","funders":"","keywords":"Pipeline (software); Pipeline transport; Geotechnical engineering; Scale (ratio); Pore water pressure; Engineering; Civil engineering; Environmental science; Mechanical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002489917,0.0003530462,0.0005047057,0.0005029917,0.000005012153,0.00001801205,0.0001343001,0.0004691258,0.0001592891],"category_scores_gemma":[0.00008505878,0.0003379116,0.00004731445,0.0001866916,0.00001485291,0.00006090895,0.0000398326,0.0007280485,0.000005618067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007558818,"about_ca_system_score_gemma":0.000028652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003667207,"about_ca_topic_score_gemma":0.0001334478,"domain_scores_codex":[0.9989011,0.00001443821,0.0004276791,0.0002337445,0.0001708737,0.0002521093],"domain_scores_gemma":[0.9995413,0.00004509159,0.00004027888,0.000233355,0.00003602085,0.0001039173],"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":[0.000005519382,0.000008291688,0.000001018196,0.0002527941,0.00001801185,0.00000386751,0.00002426219,0.8593693,0.0001469557,0.00005640325,0.1393444,0.0007691667],"study_design_scores_gemma":[0.0002615232,0.00002109531,9.791592e-7,0.00018887,0.0000186609,0.00001590179,0.00001718447,0.9514073,0.0001581583,0.0001040199,0.04749622,0.0003101291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002035392,0.0008085519,0.9256989,0.00001898948,0.0005494932,0.0002079598,0.00001870622,0.000961861,0.071532],"genre_scores_gemma":[0.7803475,0.001467073,0.07489006,0.00005196013,0.0007268866,0.00006156362,0.0001993687,0.001718686,0.1405369],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8508089,"threshold_uncertainty_score":0.9999073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458330208581199,"score_gpt":0.2315000674408918,"score_spread":0.2069167653550798,"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."}}