{"id":"W4376874607","doi":"10.1016/j.energy.2023.127836","title":"The role of emerging technologies in Canada's electricity system transition","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Mitacs","keywords":"Electricity; Electricity system; Renewable energy; Fossil fuel; Emerging technologies; Energy transition; Environmental economics; Offshore wind power; Carbon capture and storage (timeline); Leverage (statistics); Electricity generation; Upstream (networking); Natural gas; Dispatchable generation; Business; Scope (computer science); Environmental science; Wind power; Engineering; Computer science; Climate change; Telecommunications; Waste management; Distributed generation; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001655931,0.0002880429,0.0002768222,0.001148522,0.003902074,0.00845072,0.001069695,0.001496322,0.004597013],"category_scores_gemma":[0.005994753,0.0001707122,0.0004852506,0.001737933,0.002571996,0.001898806,0.001790537,0.002622931,0.000173313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09736817,"about_ca_system_score_gemma":0.1517651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9772545,"about_ca_topic_score_gemma":0.9919578,"domain_scores_codex":[0.9977202,0.0002359717,0.0000488671,0.00009722044,0.001021878,0.0008758071],"domain_scores_gemma":[0.9970484,0.000433982,0.0001136417,0.00003856315,0.001594403,0.0007710523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003196665,0.0002548878,0.06839511,0.0004449326,0.000139051,0.001512573,0.003298391,0.07334999,0.002509389,0.6843942,0.04489237,0.1204894],"study_design_scores_gemma":[0.0001396553,0.0002857905,0.2179633,0.001173922,0.0002215909,0.0004524475,0.03300311,0.09769861,0.005589752,0.0959072,0.5473241,0.000240576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5974383,0.008643679,0.005951346,0.06812849,0.0007716954,0.0001634408,0.001488736,0.0001402383,0.317274],"genre_scores_gemma":[0.9844255,0.001622352,0.001052255,0.00120334,0.00002984912,0.000007691226,0.0001504139,0.0000266917,0.01148186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09736817,"threshold_uncertainty_score":0.7064588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001895724675057051,"score_gpt":0.1455263783484142,"score_spread":0.1436306536733572,"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."}}