{"id":"W2897671458","doi":"10.3390/pr6100198","title":"Approximating Nonlinear Relationships for Optimal Operation of Natural Gas Transport Networks","year":2018,"lang":"en","type":"article","venue":"Processes","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gas compressor; Nonlinear system; Piecewise linear function; Mathematical optimization; Nonlinear programming; Piecewise; Natural gas; Compressor station; Linear approximation; Minification; Mathematics; Applied mathematics; Computer science; Engineering; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001656294,0.0001030686,0.0001277662,0.00005833992,0.00009621644,0.00001665183,0.0000771685,0.00008929315,0.000008250263],"category_scores_gemma":[0.0001343894,0.00009688797,0.00002364631,0.0002515904,0.00002912815,0.0002595545,0.000002905362,0.0001014242,0.000002183006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250629,"about_ca_system_score_gemma":0.00003349692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007117556,"about_ca_topic_score_gemma":0.00006315636,"domain_scores_codex":[0.9993606,0.000009772473,0.0003053831,0.0001092929,0.00007828045,0.0001366926],"domain_scores_gemma":[0.9993622,0.00005511634,0.00005666771,0.00008108318,0.0004247143,0.00002019037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001450432,0.000008566929,0.0002495243,0.000563828,0.00002007967,9.36235e-8,0.0005758316,0.9974217,0.0004230386,0.0001846078,0.00006480834,0.0004734539],"study_design_scores_gemma":[0.00015387,0.00003201439,0.00002531186,0.00009140549,0.00001619243,0.000002670479,0.0001348674,0.9755765,0.02341858,0.00001841016,0.0004257482,0.0001044308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05519556,0.0005880737,0.9420972,0.00001516532,0.0002961378,0.0002486766,0.000008922754,0.0002280308,0.001322267],"genre_scores_gemma":[0.8942179,0.00002749859,0.105151,0.000004927958,0.0002860996,0.00005898559,0.0001565938,0.00003128223,0.00006568251],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8390223,"threshold_uncertainty_score":0.3950977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244825376362575,"score_gpt":0.2156291457441235,"score_spread":0.2031808919804977,"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."}}