{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002992075,0.0004417641,0.0001783415,0.0003112751,0.0003405298,0.0004683466,0.0007002511,0.0006189354,0.003629133],"category_scores_gemma":[0.000359504,0.0003922863,0.0002545976,0.0002897501,0.0002244759,0.0004609613,0.0005347769,0.0003971086,0.001133209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292458,"about_ca_system_score_gemma":0.0008481478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008987255,"about_ca_topic_score_gemma":0.0008186814,"domain_scores_codex":[0.9996961,0.00003441276,0.00001515462,0.00004379168,0.0001745322,0.00003597845],"domain_scores_gemma":[0.9998224,0.00001769979,0.00002731538,0.00002931658,0.0000688357,0.00003436574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005602358,0.0002690825,0.00484085,0.0007243335,0.00002703703,0.001381119,0.0005670362,0.07178631,0.7352983,0.007751031,0.003602386,0.1731923],"study_design_scores_gemma":[0.0003965016,0.00977314,0.02255976,0.00009790713,0.00009162951,0.00396275,0.0005662679,0.1710985,0.6340549,0.003355841,0.1538767,0.0001661313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5001308,0.000214435,0.4412343,0.0006438242,0.0001622595,0.00105918,0.0005165755,0.004223384,0.05181529],"genre_scores_gemma":[0.8125862,0.0002816716,0.1557077,0.00007255169,0.00001677584,0.0003806029,0.0003780262,0.0002098354,0.03036659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003629133,"threshold_uncertainty_score":0.01214069,"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."}}