{"id":"W3154954407","doi":"10.3390/sym13040647","title":"Modelling of Consumption Shares for Small Wind Energy Prosumers","year":2021,"lang":"en","type":"article","venue":"Symmetry","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"European Regional Development Fund; Norway Grants; Teadmistepõhise Ehituse Tippkeskus ZEBE; Eesti Teadusagentuur","keywords":"Wind power; Electricity; Production (economics); Renewable energy; Consumption (sociology); Computer science; Grid; Generator (circuit theory); Environmental science; Energy consumption; Environmental economics; Automotive engineering; Electrical engineering; Economics; Mathematics; Engineering; Microeconomics; Power (physics); Physics","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":[0.0005473752,0.0005136531,0.0004832277,0.0003707542,0.0004402993,0.001134825,0.001096127,0.001142083,0.004967857],"category_scores_gemma":[0.001721695,0.0004322372,0.000650676,0.0005307831,0.0006097445,0.001206496,0.0005753927,0.0007543758,0.0003236722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206526,"about_ca_system_score_gemma":0.0005874629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016113,"about_ca_topic_score_gemma":0.009628099,"domain_scores_codex":[0.9997774,0.00008879881,0.00001019381,0.00004626166,0.00003023712,0.00004704829],"domain_scores_gemma":[0.9994478,0.0003440826,0.00007286657,0.0000360606,0.00005561119,0.00004350634],"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":[0.00003420668,0.0000127679,0.0005799327,0.000006351687,0.000004420992,0.00005309531,0.00002472116,0.9954377,0.0002932458,0.002936682,0.00006398906,0.0005529418],"study_design_scores_gemma":[0.000005743131,0.00001608013,0.0002028236,0.00000152286,0.000002506178,0.000008716892,0.00002648995,0.9986161,0.000124625,0.0008611247,0.0001308545,0.00000341126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954288,0.0001186404,0.07839403,0.0003553336,0.00003630214,0.00008372077,0.0006676929,0.0001165976,0.02479883],"genre_scores_gemma":[0.9926012,0.00004417382,0.002481881,0.00001325684,0.000003393496,0.00003607849,0.00008773702,0.00001931255,0.004712987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016113,"threshold_uncertainty_score":0.03203845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724201932951195,"score_gpt":0.2111543709001904,"score_spread":0.1739123515706785,"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."}}