{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002291384,0.0001072888,0.0001599168,0.00008721626,0.00008427161,0.00003388569,0.0002839243,0.00005495905,0.00003791187],"category_scores_gemma":[0.00004744928,0.00009351313,0.0000486252,0.0002647103,0.0001743608,0.0006645566,0.00009147412,0.0001224414,0.00003481441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001668957,"about_ca_system_score_gemma":0.00005776766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004181684,"about_ca_topic_score_gemma":0.00001787304,"domain_scores_codex":[0.9988811,0.00002435738,0.0002297577,0.000390766,0.0002624631,0.0002115557],"domain_scores_gemma":[0.9991735,0.00002945775,0.00006540527,0.0003279832,0.0002967707,0.0001068398],"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":[0.0001111804,0.001000835,0.0008461019,0.0001336338,0.00001603173,0.000009617233,0.0006549296,0.00001687459,0.7608553,0.058235,0.004433646,0.1736869],"study_design_scores_gemma":[0.001550656,0.0006892747,0.013018,0.0001580621,0.00002636891,0.00004283635,0.0002543039,0.00314628,0.9385864,0.004944874,0.03704864,0.0005342716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130438,0.0004127282,0.3559287,0.01926532,0.0001075635,0.00117056,0.0001334498,0.0005796293,0.009358268],"genre_scores_gemma":[0.9875183,0.0002121757,0.01190267,0.00007159217,0.00008951102,0.0000140331,0.00002605986,0.000004197732,0.0001614508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744745,"threshold_uncertainty_score":0.3813355,"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."}}