{"id":"W170113705","doi":"","title":"Integration and coordination of multirefinery networks: a robust optimization approach","year":2008,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Oil refinery; Bounding overwatch; Computer science; Mathematical optimization; Refinery; Robust optimization; Engineering; Mathematics; Artificial intelligence","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":[0.003325823,0.002020228,0.002024893,0.001431429,0.0007824766,0.002374837,0.002345224,0.002737436,0.001877776],"category_scores_gemma":[0.006083499,0.001156102,0.001424575,0.001418575,0.001886043,0.002924052,0.002171459,0.001817082,0.000278392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962938,"about_ca_system_score_gemma":0.0014413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007197743,"about_ca_topic_score_gemma":0.002534739,"domain_scores_codex":[0.9980265,0.0008654617,0.0000763164,0.0004255191,0.000449325,0.0001568187],"domain_scores_gemma":[0.9972903,0.001732232,0.0004810912,0.0001380713,0.0002721276,0.00008621867],"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":[0.0000108667,0.00000521869,0.00006295498,0.0000137228,0.00001814835,0.00001939591,0.00000930743,0.9928874,0.0001784188,0.004383881,0.00005467652,0.00235602],"study_design_scores_gemma":[0.000002483811,0.00001047942,0.00002806709,0.000002621136,0.000005124278,0.000003667672,0.000004318759,0.9973024,0.00009676007,0.002438268,0.0001029792,0.000002845556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005147147,0.0002826526,0.9926981,0.0001399348,0.0000150707,0.00002725032,0.0000285613,0.00006880521,0.00159241],"genre_scores_gemma":[0.7567842,0.001025186,0.2375558,0.0001124819,0.0001695773,0.0003452795,0.0001549363,0.0001569736,0.003695533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007197743,"threshold_uncertainty_score":0.01758885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06888898839968657,"score_gpt":0.2511943042739514,"score_spread":0.1823053158742648,"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."}}