{"id":"W3003201001","doi":"10.1016/j.rser.2019.109489","title":"Renewable energy communities under the 2019 European Clean Energy Package – Governance model for the energy clusters of the future?","year":2020,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":562,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Horizon 2020; Ministry of Education and Science","keywords":"Renewable energy; Corporate governance; Energy (signal processing); Clean energy; Environmental economics; Business; Natural resource economics; Environmental science; Economics; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008167354,0.0005759372,0.0007419254,0.00005905837,0.0008504292,0.0001801231,0.001251928,0.0001879231,0.0000198349],"category_scores_gemma":[0.00004818108,0.0003213389,0.0003586041,0.0007712697,0.0002115197,0.000341881,0.0003701947,0.0001909862,6.827468e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785602,"about_ca_system_score_gemma":0.0001365529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03760133,"about_ca_topic_score_gemma":0.01971959,"domain_scores_codex":[0.9969056,0.0006622049,0.0009222027,0.0003629581,0.0003228085,0.0008242833],"domain_scores_gemma":[0.9976503,0.0002617922,0.0004171668,0.001248774,0.0002783602,0.0001435777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002856085,0.00001343465,0.000002168441,0.0002099476,0.0001135434,0.000001622066,0.0004031611,0.8249019,0.0002091903,0.06996231,0.09951762,0.004636525],"study_design_scores_gemma":[0.0002656045,0.00003373016,0.000001606973,0.0001050673,0.00007881907,0.000006120504,0.003079122,0.4543673,0.002264571,0.0005985265,0.5389424,0.0002571483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008340654,0.1129373,0.8656431,0.001959429,0.0005277699,0.0003247901,0.00004842928,0.0001708822,0.01830488],"genre_scores_gemma":[0.6649898,0.2457238,0.0004349425,0.006133356,0.0009822593,0.000395626,0.0001598737,0.0003182112,0.08086206],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8652082,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266443579786255,"score_gpt":0.1955258074061723,"score_spread":0.1828613716083098,"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."}}