{"id":"W168892106","doi":"","title":"Energy and environmental advantages of cogeneration with nuclear and coal electrical utilities","year":2009,"lang":"en","type":"article","venue":"International Conference on Energy & Environment","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cogeneration; Coal; Fossil fuel; Environmental science; Waste management; Greenhouse gas; Electric potential energy; Electricity generation; Engineering; Energy (signal processing); Geology","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":[0.0004117217,0.0003456123,0.0002143984,0.0003893657,0.0004036416,0.0005882257,0.0004706027,0.0004699566,0.002538118],"category_scores_gemma":[0.0008942019,0.0001257818,0.0003360626,0.0006735692,0.0004116954,0.000649823,0.0005861179,0.0001539007,0.0001422961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006293098,"about_ca_system_score_gemma":0.0002161062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418926,"about_ca_topic_score_gemma":0.007667431,"domain_scores_codex":[0.9997939,0.00009650354,0.00000525819,0.00001720067,0.00004056789,0.00004660745],"domain_scores_gemma":[0.9997804,0.0001106533,0.00002657527,0.00002394781,0.00003873026,0.00001972988],"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":[0.004320535,0.0008352267,0.04567102,0.0002945928,0.0001280381,0.001799048,0.0001621322,0.8214424,0.03575465,0.01735664,0.0004677338,0.07176799],"study_design_scores_gemma":[0.0006602501,0.01002666,0.1480567,0.0001189448,0.0005493917,0.00140364,0.002989959,0.7062809,0.09269869,0.02033861,0.0167525,0.0001237735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886484,0.0001621481,0.002890006,0.00003935046,0.000004841037,0.00001122416,0.00003927204,0.00001655828,0.008188251],"genre_scores_gemma":[0.998902,0.00004796075,0.0006465674,0.000002721713,8.782735e-7,0.000002405543,0.00002024025,0.000002148646,0.0003751033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002538118,"threshold_uncertainty_score":0.00849086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005798718571357957,"score_gpt":0.1762992392758293,"score_spread":0.1705005207044714,"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."}}