{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006246103,0.00008986748,0.000124292,0.00007738873,0.00002028795,0.00001256805,0.00007003183,0.00004945918,0.00003461299],"category_scores_gemma":[0.0000120589,0.0001030471,0.00006109507,0.0001146294,0.00001252252,0.00004475263,0.00002890702,0.00003655207,0.000004100406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003463925,"about_ca_system_score_gemma":0.000009413977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893242,"about_ca_topic_score_gemma":0.00001430937,"domain_scores_codex":[0.9994545,0.000008263461,0.0001621509,0.0001359396,0.00008130398,0.0001578444],"domain_scores_gemma":[0.9996845,0.000042042,0.00002148567,0.0001763712,0.00004428001,0.00003139094],"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":[0.000004773334,0.00001439646,0.0007382598,0.0002722776,0.00009142017,0.000002509913,0.00002571452,0.985418,0.001338223,0.008188321,0.0008671852,0.003038935],"study_design_scores_gemma":[0.0003406988,0.00001406773,0.000337389,0.00006117903,0.00003897499,0.000001634485,0.00003658592,0.8949904,0.08421721,0.0005588071,0.01923364,0.0001694322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3088521,0.002214885,0.6840011,0.00003084346,0.0008777608,0.0001085094,0.00002947465,0.0001833779,0.003701921],"genre_scores_gemma":[0.988514,0.0001697037,0.01063948,0.00003284241,0.0001009892,0.00002241256,0.00006075592,0.00003451423,0.0004252995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6796619,"threshold_uncertainty_score":0.4202138,"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."}}