{"id":"W1994824868","doi":"10.1115/omae2003-37429","title":"Design, Application and Installation of an X100 Pipeline","year":2003,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Welding; Pipeline (software); Pipeline transport; Field (mathematics); Construction engineering; Process (computing); Ultimate tensile strength; Computer science; Mechanical engineering; Manufacturing engineering; Engineering; Materials science; Composite material","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":[0.00005576133,0.00004190328,0.00004747424,0.00004399828,0.000006571165,0.000003556546,0.00002313967,0.00003970628,0.000004415357],"category_scores_gemma":[0.00001168053,0.00003946498,0.0000043534,0.00006980282,0.000009120395,0.00005027039,0.000002567906,0.00002891484,0.000001426995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005525239,"about_ca_system_score_gemma":0.000001542512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001944383,"about_ca_topic_score_gemma":0.000001444577,"domain_scores_codex":[0.9998069,0.000003164553,0.00006745091,0.00004718534,0.00002818205,0.00004710433],"domain_scores_gemma":[0.9998716,0.00001135089,0.000005857273,0.00008979846,0.000009302377,0.00001215751],"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":[0.000003485001,0.0000322388,0.0006512727,0.00009974815,0.00001810434,5.880173e-7,0.0001384474,0.5520398,0.1806045,0.0374346,0.000196649,0.2287806],"study_design_scores_gemma":[0.0001453766,0.00003687658,0.0008650653,0.000004738589,0.000005013029,0.00000418175,0.0000546104,0.6269139,0.3676051,0.001913201,0.002337523,0.0001144103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881225,0.0001140291,0.8084473,0.000004426823,0.00001783745,0.00005377513,2.837921e-7,0.0004264522,0.002813401],"genre_scores_gemma":[0.9587929,0.00002878503,0.04113734,0.000001244997,0.000003930634,0.000004978068,0.000001771928,0.000007241552,0.00002175607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7706704,"threshold_uncertainty_score":0.1609335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268850338939109,"score_gpt":0.1899925228648664,"score_spread":0.1817236725259273,"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."}}