{"id":"W2039095582","doi":"10.2118/96301-ms","title":"Multiproduct Pipe Transport Conversion of Abandoned Single Product Pipelines","year":2005,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Piping; Pipeline (software); Nominal Pipe Size; Engineering; Flexibility (engineering); Petroleum engineering; Mechanical engineering; Environmental science; Marine engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003723481,0.0003583668,0.0003053594,0.0004487729,0.0003495922,0.0006224209,0.000705656,0.000329912,0.002183649],"category_scores_gemma":[0.0004946765,0.0002215387,0.0005006273,0.0004325818,0.0003141584,0.0008529868,0.0003842505,0.0005031984,0.0003595817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008530355,"about_ca_system_score_gemma":0.0003630236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986291,"about_ca_topic_score_gemma":0.001985007,"domain_scores_codex":[0.9997337,0.00003752814,0.00001291933,0.00006053752,0.0001215635,0.00003375602],"domain_scores_gemma":[0.9997293,0.00007210303,0.00006121394,0.00005968505,0.00006431896,0.00001326529],"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":[0.0005141969,0.0004431522,0.006997864,0.0007622506,0.00004621183,0.001426762,0.0005086716,0.1895335,0.6835141,0.005553862,0.001722021,0.1089774],"study_design_scores_gemma":[0.00004137217,0.001544513,0.004200005,0.00004320679,0.00003980225,0.0004334199,0.0001432738,0.3934198,0.5842319,0.0007871912,0.0150681,0.00004744582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086549,0.0002278614,0.0849179,0.00006199034,0.00006688598,0.00009275029,0.0002129924,0.0006912486,0.005073515],"genre_scores_gemma":[0.9819604,0.0001238394,0.0132058,0.000007255018,0.000003844599,0.0000223117,0.0001553723,0.00005841651,0.004462649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002183649,"threshold_uncertainty_score":0.007305026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307690036022174,"score_gpt":0.2709444484353299,"score_spread":0.2401754448331125,"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."}}