{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003371745,0.0006981988,0.0003476022,0.0005604143,0.000322415,0.0005728725,0.0007235552,0.0003487286,0.006408626],"category_scores_gemma":[0.0008332375,0.0004960177,0.0007687357,0.000511785,0.0002878961,0.0005875889,0.0007645221,0.0004347596,0.0008824713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003587619,"about_ca_system_score_gemma":0.001006333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336899,"about_ca_topic_score_gemma":0.002502426,"domain_scores_codex":[0.9996272,0.00004518293,0.00002800208,0.00005223442,0.0002211505,0.00002613484],"domain_scores_gemma":[0.9997653,0.00007576391,0.00002248168,0.00005030588,0.00007307089,0.00001295997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001835844,0.00008094661,0.006992571,0.0009891273,0.00007993051,0.0006324594,0.0007793129,0.2958546,0.1213051,0.03147284,0.01146963,0.5301598],"study_design_scores_gemma":[0.00009028577,0.0002538874,0.002334052,0.0001074292,0.0001042861,0.001028391,0.0001843999,0.6438568,0.1409493,0.01071639,0.2002959,0.00007898332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01544692,0.0001601345,0.9718201,0.0001081986,0.00004880111,0.00005816792,0.0002869848,0.004679377,0.00739132],"genre_scores_gemma":[0.2891344,0.0007080821,0.6980741,0.0001157746,0.00002329063,0.0001706395,0.000912573,0.001057017,0.009804148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006408626,"threshold_uncertainty_score":0.02143902,"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."}}