{"id":"W2372564888","doi":"","title":"Application of PDMS in Buried Supply and Drainage Pipeline Design for Petrochemical Plants","year":2014,"lang":"en","type":"article","venue":"Contemporary Chemical Industry","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PCL Construction (Canada)","funders":"","keywords":"Petrochemical; Pipeline (software); Engineering; Drainage; Software; Software design; Process (computing); Petroleum engineering; Systems engineering; Civil engineering; Computer science; Software development; Environmental engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.00039238,0.0001188576,0.0002787161,0.00005430332,0.00002504347,0.00001130643,0.0001578962,0.0003491226,0.00004637455],"category_scores_gemma":[0.0002263428,0.00009742442,0.00004575911,0.000114694,0.0000996612,0.00006435058,0.0000141414,0.0002896439,0.000005247504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002481476,"about_ca_system_score_gemma":0.00002390131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571774,"about_ca_topic_score_gemma":0.000007672995,"domain_scores_codex":[0.9990415,0.00004839747,0.0003211682,0.0002936587,0.0001100714,0.0001852052],"domain_scores_gemma":[0.99924,0.000376823,0.00009148735,0.0001392444,0.00002939603,0.0001230542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009287927,0.0002647265,0.8249297,0.0002070277,0.00005336661,0.000008895002,0.0002193212,0.005585765,0.07670269,0.0002573719,0.007645244,0.08319716],"study_design_scores_gemma":[0.001897604,0.0001855578,0.01208448,0.00008297401,0.00002664361,0.000008375159,0.0001745503,0.9075637,0.06124425,0.01238131,0.003923854,0.0004266754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483716,0.0004158936,0.04789408,0.0007914899,0.00002464476,0.0002413409,0.00006893035,0.00003115613,0.002160878],"genre_scores_gemma":[0.9969388,0.000003573793,0.00239353,0.0001495668,0.0001166847,0.000006834207,0.0003207428,0.000002970926,0.00006729105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.901978,"threshold_uncertainty_score":0.3972853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876124432907899,"score_gpt":0.2380177045939178,"score_spread":0.1992564602648388,"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."}}