{"id":"W2011998464","doi":"10.1002/aic.13708","title":"Decomposition strategy for the global optimization of flexible energy polygeneration systems","year":2011,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Process Optimization and Integration","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Decomposition; Mathematical optimization; Convergence (economics); Optimization problem; Global optimization; Duality (order theory); Nonlinear system; Computer science; Dual (grammatical number); Scale (ratio); Mathematics; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001294992,0.00007362935,0.00007709194,0.00004026668,0.0001000749,0.00006057657,0.00009027564,0.00005836264,0.00007450519],"category_scores_gemma":[0.00001009756,0.00005418892,0.00004154982,0.0001290328,0.00001177014,0.0002986585,0.000003516771,0.00004944509,9.366963e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006369621,"about_ca_system_score_gemma":0.00003071376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003099052,"about_ca_topic_score_gemma":0.000008075313,"domain_scores_codex":[0.9994823,0.00001937909,0.000256719,0.00004993013,0.00009566123,0.00009605351],"domain_scores_gemma":[0.9995691,0.00001430556,0.00009418309,0.00006914526,0.0002176594,0.0000356317],"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":[0.00001873066,0.0000138923,0.00003906809,0.000009468623,0.00003920716,1.244646e-7,0.00008461402,0.9812172,0.000278744,0.01476697,0.001013369,0.002518581],"study_design_scores_gemma":[0.0002110989,0.00007135019,0.0001202788,0.00001589811,0.00003067448,0.0000332936,0.000171688,0.9921312,0.006543605,0.000351659,0.0002557295,0.00006354567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005684004,0.001372257,0.9933079,0.00002138032,0.000589519,0.00007892107,0.000008019445,0.00004673402,0.004006819],"genre_scores_gemma":[0.9892685,0.0003980713,0.009973562,0.00002844217,0.0001847055,0.00002100618,0.00002510263,0.00001200082,0.00008864798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9887,"threshold_uncertainty_score":0.220976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291488452678268,"score_gpt":0.2595200368344914,"score_spread":0.2266051523077088,"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."}}