{"id":"W2794621965","doi":"10.1139/tcsme-2014-0004","title":"APPLICATION OF A POLYGENERATION OPTIMIZATION TECHNIQUE FOR A HOSPITAL IN NORTHERN ONTARIO","year":2014,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Cogeneration; Electricity; Integer programming; Linear programming; Grid; Natural gas; Engineering; Waste management; Operations management; Mathematical optimization; Environmental science; Electricity generation; Electrical engineering; Power (physics); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134518,0.00008231897,0.0001148112,0.00005916649,0.00005180034,0.000007396447,0.0001065738,0.0001236524,0.000003419142],"category_scores_gemma":[0.00002383919,0.00008242596,0.0001759251,0.0001929346,0.000009465451,0.00008877462,0.000001105391,0.00008865219,6.360019e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859806,"about_ca_system_score_gemma":0.00009687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009210794,"about_ca_topic_score_gemma":0.5240185,"domain_scores_codex":[0.9995044,0.000003047762,0.000225628,0.00008606439,0.00006016815,0.00012063],"domain_scores_gemma":[0.9996803,0.00002603002,0.00003586715,0.0001195381,0.0000929093,0.00004537493],"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":[0.000001955747,0.000009140941,0.00001210296,0.00007184591,0.00001604427,1.236507e-9,0.0001764909,0.9887603,0.008776316,0.001535058,0.000008541515,0.0006322307],"study_design_scores_gemma":[0.0002205169,0.00003498471,0.0000274877,0.00002406076,0.00001907243,2.438626e-7,0.00001722902,0.9534643,0.04567696,0.0001187648,0.0003155902,0.00008076533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001459371,0.00001052176,0.9974758,0.0001011756,0.0001143595,0.0007586392,0.00002732942,0.00003340636,0.00001940219],"genre_scores_gemma":[0.8925189,0.000002699273,0.1069404,0.00001195408,0.00001449187,0.0004500298,0.00002661741,0.00002172472,0.00001310806],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8910596,"threshold_uncertainty_score":0.9973869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003972381408333807,"score_gpt":0.1734109065688979,"score_spread":0.1694385251605641,"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."}}