{"id":"W2283981904","doi":"10.2172/1067922","title":"Integrated Canada-U.S. Power Sector Modeling with the Regional Energy Deployment System (ReEDS)","year":2013,"lang":"en","type":"report","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University; Natural Resources Canada; U.S. Department of Energy","keywords":"Software deployment; Renewable energy; Electricity; Grid; Electric power system; Variable renewable energy; Electricity system; Environmental economics; Business; Electricity generation; Telecommunications; Environmental resource management; Computer science; Power (physics); Geography; Engineering; Economics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002335971,0.0007373011,0.0006346098,0.0001970615,0.000125327,0.0001287319,0.0004343124,0.0004965404,0.0002148806],"category_scores_gemma":[0.00001107512,0.0004199691,0.000102327,0.0003872488,0.00002701696,0.0001107428,0.00003174889,0.0005753891,0.00001224758],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004795731,"about_ca_system_score_gemma":0.00309059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8999712,"about_ca_topic_score_gemma":0.845202,"domain_scores_codex":[0.9968886,0.00007426924,0.0006920272,0.0004430259,0.001368068,0.0005340565],"domain_scores_gemma":[0.9975043,0.00004287219,0.0001757123,0.0006936533,0.001428861,0.0001545927],"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":[0.000004611512,0.000003548574,0.000001759111,0.0001189645,0.0004190376,0.00002044653,0.00002340606,0.745992,0.00002020007,0.001250234,0.2520476,0.00009825156],"study_design_scores_gemma":[0.0001115234,0.00001970642,0.000001164231,0.0006456327,0.00007286079,0.0002132676,0.0006915253,0.8055636,0.0001049268,6.346464e-7,0.1920474,0.0005276946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00161065,0.002959711,0.521601,0.0001889645,0.00441137,0.0007740137,0.00008561824,0.002086189,0.4662825],"genre_scores_gemma":[0.9669855,0.0003357933,0.0008446415,0.0001341318,0.0005754183,0.000570712,0.0007496729,0.0005248414,0.02927935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9653748,"threshold_uncertainty_score":0.9998252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356575411077732,"score_gpt":0.170785959456934,"score_spread":0.1572202053461567,"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."}}