{"id":"W4252070368","doi":"10.1007/978-1-4419-6123-5_1","title":"Introduction and Motivation","year":2012,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Complementarity (molecular biology); Nonlinear complementarity problem; Mixed complementarity problem; Mathematical optimization; Section (typography); Computer science; Mathematical economics; Flexibility (engineering); Nonlinear system; Mathematics","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":["metaepi_narrow","bibliometrics","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01186227,0.0006437383,0.0004332339,0.01334634,0.002030332,0.003388089,0.003778654,0.0002719685,0.001909865],"category_scores_gemma":[0.0008112446,0.0006955747,0.00008065088,0.004217007,0.005752972,0.01033126,0.002380041,0.001700455,0.0003687658],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005329792,"about_ca_system_score_gemma":0.000296902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004081918,"about_ca_topic_score_gemma":0.003255191,"domain_scores_codex":[0.9878011,0.0002150953,0.001467222,0.001897413,0.006973111,0.001646099],"domain_scores_gemma":[0.9954553,0.0001195601,0.00006907247,0.001209605,0.002813812,0.0003326269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005039825,0.00008768531,0.0001106937,0.0000755148,0.00008196054,0.00003961214,0.0005181931,0.3621344,0.0006955155,0.631425,0.001492819,0.003288245],"study_design_scores_gemma":[0.001606798,0.0002376366,0.006810811,0.001374012,0.00003716962,0.0001227982,0.006713583,0.4276092,0.001648645,0.0161811,0.5356358,0.002022489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005529901,0.0003616226,0.002826439,0.01029594,0.006430971,0.00374067,0.0001159187,0.0003340274,0.9703645],"genre_scores_gemma":[0.4386298,0.02027244,0.01681081,0.00008754482,0.001614063,0.002020329,0.0008411437,0.0002072287,0.5195166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6152439,"threshold_uncertainty_score":0.9995496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03653655898805946,"score_gpt":0.3347845269186736,"score_spread":0.2982479679306141,"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."}}