{"id":"W4368353698","doi":"10.1016/j.jup.2023.101566","title":"Developing sustainable power systems by evaluating techno-economic, environmental, and social indicators from a system dynamics approach","year":2023,"lang":"en","type":"article","venue":"Utilities Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Renewable energy; Fossil fuel; Environmental economics; System dynamics; Sustainable development; Environmental resource management; Business; Natural resource economics; Economics; Engineering; Computer science; Waste management","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":[0.00779886,0.001426355,0.0008885218,0.004842688,0.0006298351,0.005364583,0.0007830551,0.001053735,0.001323078],"category_scores_gemma":[0.01402333,0.0004168804,0.0005893377,0.003058738,0.00175857,0.006659837,0.001930233,0.001390894,0.0001467936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004151591,"about_ca_system_score_gemma":0.004219695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006715015,"about_ca_topic_score_gemma":0.01074845,"domain_scores_codex":[0.9963033,0.002290796,0.0001835053,0.000185526,0.000887522,0.0001493108],"domain_scores_gemma":[0.9945556,0.003556481,0.0007256563,0.0001576757,0.0008547296,0.000149793],"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":[0.00006512032,0.000155214,0.01952777,0.0002854888,0.0002348407,0.00007986031,0.0003009069,0.750549,0.002156558,0.182942,0.001013912,0.04268942],"study_design_scores_gemma":[0.00001809062,0.0001409682,0.004289328,0.00009418001,0.00007709419,0.00001717499,0.0006164339,0.8813676,0.00180297,0.1089798,0.002556358,0.0000400838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.221854,0.0008527694,0.734992,0.004479883,0.0001361946,0.0004430599,0.0005414244,0.0002949107,0.03640582],"genre_scores_gemma":[0.9076062,0.0008478019,0.08979446,0.00007241865,0.00005163961,0.0002385395,0.0002934094,0.00004395233,0.001051666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00779886,"threshold_uncertainty_score":0.04124486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667915385401332,"score_gpt":0.2814895794653611,"score_spread":0.2648104256113478,"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."}}