{"id":"W1996193578","doi":"10.1504/ijcat.2005.006946","title":"An energy systems modelling approach for the planning of power generation: a North American case study","year":2005,"lang":"en","type":"article","venue":"International Journal of Computer Applications in Technology","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Toronto; Environment and Climate Change Canada; University of Regina","funders":"","keywords":"Nuclear decommissioning; Greenhouse gas; Electricity generation; Energy planning; Electricity; Environmental economics; Business; Environmental science; Environmental resource management; Power (physics); Renewable energy; Engineering; Economics; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005330174,0.000716544,0.0004269945,0.0006133813,0.00108706,0.001697414,0.001255117,0.001387007,0.003356562],"category_scores_gemma":[0.001044928,0.0005693497,0.0006227939,0.002073226,0.0006077659,0.0008330127,0.0007015958,0.0009857274,0.0002306767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006979039,"about_ca_system_score_gemma":0.005616067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3580225,"about_ca_topic_score_gemma":0.5546721,"domain_scores_codex":[0.9996471,0.0002015168,0.0000110655,0.00003548403,0.00004876678,0.00005601482],"domain_scores_gemma":[0.9996318,0.0002406821,0.00001921893,0.00001516851,0.0000682709,0.00002488586],"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":[0.00002967257,0.00003097721,0.001381047,0.00002339498,0.00002009627,0.0002967015,0.00008586583,0.9873018,0.0002555937,0.006580913,0.0005606959,0.003433218],"study_design_scores_gemma":[0.00002638309,0.00002168054,0.000919854,0.00001880074,0.00002127999,0.00003967792,0.0004246085,0.990696,0.0002115196,0.004380179,0.003224794,0.00001533778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7058793,0.0009941731,0.1773993,0.003630487,0.00006509441,0.0004898572,0.003005513,0.0002460086,0.1082902],"genre_scores_gemma":[0.948119,0.0007641112,0.03850259,0.0001054018,0.00001215533,0.0003586,0.0006383841,0.00003769616,0.01146206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6419775,"threshold_uncertainty_score":0.7118771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463588935888315,"score_gpt":0.2619121494103616,"score_spread":0.2472762600514785,"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."}}