{"id":"W1519649640","doi":"10.1002/9783527630844.ch5","title":"Multisite Refinery and Petrochemical Network Integration","year":2010,"lang":"en","type":"other","venue":"","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Refinery; Statement (logic); Petrochemical; Problem statement; Computer science; Operations research; Engineering; Waste management; Management science; Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002448805,0.0001449469,0.0001241778,0.00007285475,0.00001220848,0.0000344974,0.00004667302,0.0003405497,0.002117482],"category_scores_gemma":[0.00001724568,0.0001222438,0.00001801706,0.0000667677,0.00001707922,0.00004225614,0.000009511402,0.0002605139,0.00004699863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009783957,"about_ca_system_score_gemma":0.000003052491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000244321,"about_ca_topic_score_gemma":0.0005986748,"domain_scores_codex":[0.9996212,0.000003435101,0.000103357,0.000118088,0.00005831151,0.00009561081],"domain_scores_gemma":[0.9998103,0.000007788597,0.00002336489,0.0001015552,0.00001641575,0.0000405868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001165313,0.000003090275,0.000019026,0.00003274187,0.00001273748,2.806509e-7,0.00001019025,0.000318535,0.0009662466,0.001092149,0.986742,0.0108019],"study_design_scores_gemma":[0.0001208462,0.000006043766,0.00001325075,0.00009815986,0.00001167533,0.00000356654,0.000005769713,0.13562,0.00100056,0.00005549548,0.8628272,0.0002374764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001206905,0.0006628461,0.1425669,0.00001856294,0.0003526807,0.00007246077,0.000004862632,0.0007757338,0.8555338],"genre_scores_gemma":[0.002328063,0.001758894,0.06865642,0.0001643033,0.00107012,0.00002931947,0.0004271237,0.0004581063,0.9251077],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1353014,"threshold_uncertainty_score":0.9987947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003176539751052195,"score_gpt":0.1860373947120712,"score_spread":0.182860854961019,"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."}}