{"id":"W1977867839","doi":"10.1115/ipc2010-31206","title":"Modeling Approaches for Anisotropic Material Properties of High Strength Steel Pipelines and the Effect on Differential Settlement","year":2010,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); University of Alberta","funders":"","keywords":"Isotropy; Anisotropy; Settlement (finance); Materials science; Stress (linguistics); Differential stress; Yield (engineering); Structural engineering; Differential (mechanical device); Pipeline transport; Mechanics; Geotechnical engineering; Deformation (meteorology); Geology; Composite material; Engineering; Computer science; Physics; Mechanical engineering; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001056314,0.0001306557,0.0002421844,0.00003107967,0.00006391821,0.00004090669,0.0000945842,0.00007632638,0.00004770353],"category_scores_gemma":[0.0000343792,0.00006033034,0.00008550783,0.0000284395,0.0001001578,0.00003719562,0.00002518147,0.0001282074,4.769848e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000632307,"about_ca_system_score_gemma":0.000002600481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001790355,"about_ca_topic_score_gemma":0.0001336621,"domain_scores_codex":[0.9994419,0.00002716753,0.0001985629,0.0001227288,0.00009458439,0.0001150488],"domain_scores_gemma":[0.9997268,0.00006085472,0.00001636391,0.0001522232,0.00002283624,0.00002089345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002789841,0.0001056341,0.000308201,0.002861092,0.001228714,3.192831e-7,0.001310512,0.4112903,0.4877114,0.05138506,0.0001009898,0.04090787],"study_design_scores_gemma":[0.0007916018,0.0000892279,0.00007893365,0.00001469367,0.00009348639,4.980114e-7,0.00009073236,0.7496562,0.248642,0.0004519395,0.00001105627,0.00007960567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963208,0.0000247668,0.00263445,0.0001385444,0.0004150355,0.0003399847,0.00003705427,0.00005000497,0.00003934881],"genre_scores_gemma":[0.999211,0.00000995463,0.0004874809,0.00000475999,0.0001741962,0.00004771291,0.00001554166,0.00001037777,0.0000390496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3383659,"threshold_uncertainty_score":0.24602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628175011655213,"score_gpt":0.1991931442918334,"score_spread":0.1829113941752813,"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."}}