{"id":"W2086983430","doi":"10.1109/icsai.2014.7009286","title":"Renewable energy sources in a transactive energy market","year":2014,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Renewable energy; Environmental economics; Revenue; Fossil fuel; Transactive memory; Wind power; Renewable energy credit; Intermittent energy source; Business; Grid parity; Natural resource economics; Energy source; Grid; Energy development; Feed-in tariff; Distributed generation; Economics; Energy policy; Computer science; Engineering; Waste management; Finance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002229975,0.0005114751,0.0004113159,0.001518839,0.001416372,0.009051085,0.001075813,0.002569786,0.008552292],"category_scores_gemma":[0.002332622,0.0002195519,0.0006725586,0.001241991,0.004712537,0.01188419,0.003623049,0.002651639,0.0008457498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157125,"about_ca_system_score_gemma":0.001182567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296845,"about_ca_topic_score_gemma":0.002044278,"domain_scores_codex":[0.9981635,0.0005823926,0.00005021886,0.0001612358,0.0008340671,0.0002085009],"domain_scores_gemma":[0.9987024,0.0003973143,0.0001991649,0.0001701874,0.0003269657,0.0002039318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001809812,0.00001781208,0.0002346481,0.00001498456,0.000004560073,0.00009120798,0.0002515258,0.001157999,0.0002431793,0.9910416,0.0005060434,0.006418354],"study_design_scores_gemma":[0.00001816668,0.00006648627,0.0008318445,0.0001183642,0.000009719707,0.0003583789,0.002281471,0.01382146,0.0005474306,0.9100573,0.07186139,0.0000280074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1470798,0.003585813,0.1097336,0.01353214,0.0005030602,0.0001731717,0.000116473,0.0001340928,0.7251418],"genre_scores_gemma":[0.9564207,0.001440329,0.008959788,0.0009509774,0.000207219,0.0001195228,0.00005045156,0.00003787147,0.0318133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009051085,"threshold_uncertainty_score":0.02861023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004101815620431313,"score_gpt":0.1687823321369233,"score_spread":0.164680516516492,"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."}}