{"id":"W2997549893","doi":"10.1109/iccece46942.2019.8941731","title":"Canadian Energy System Management under Climate Change Conditions","year":2019,"lang":"en","type":"article","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Prosperity; Environmental resource management; Renewable energy; Climate change; Sustainable development; Greenhouse gas; Energy planning; Energy system; Environmental economics; Energy conservation; Energy management; Global warming; Natural resource economics; Environmental planning; Energy (signal processing); Computer science; Environmental science; Economics; Engineering; Ecology; Economic growth","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":[0.0004770069,0.0005598987,0.0004234992,0.0008629736,0.002302142,0.002378306,0.001171268,0.0005978289,0.003499717],"category_scores_gemma":[0.001011324,0.0001904266,0.0005806999,0.001896693,0.0005626008,0.0005837445,0.0006905379,0.0004194281,0.0002549615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02643336,"about_ca_system_score_gemma":0.03002038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9774497,"about_ca_topic_score_gemma":0.9848883,"domain_scores_codex":[0.9995062,0.00005717096,0.00001261353,0.00009188485,0.0001643371,0.0001677885],"domain_scores_gemma":[0.999697,0.00002970185,0.00002042691,0.00001328339,0.0002122094,0.00002749011],"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":[0.00005552365,0.0000231585,0.007069139,0.00006922153,0.00004748111,0.0001496071,0.0001529955,0.9021409,0.001436172,0.02932378,0.01020402,0.0493281],"study_design_scores_gemma":[0.00001451443,0.00002358123,0.01090967,0.00002162976,0.00005987988,0.00005508139,0.0005957911,0.9465348,0.001057825,0.00714686,0.0335345,0.00004590055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4128286,0.003792177,0.2649072,0.003839345,0.0003284877,0.0006173214,0.00973573,0.001417231,0.3025339],"genre_scores_gemma":[0.9453388,0.001271754,0.02728651,0.0001142044,0.00001733183,0.00007581947,0.001623433,0.00007835653,0.02419367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02643336,"threshold_uncertainty_score":0.1917884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006310731430559482,"score_gpt":0.1586471943706224,"score_spread":0.1523364629400629,"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."}}