{"id":"W4406155181","doi":"","title":"Determining optimal capacity of wind generation in a conventional power system","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Renewable energy and sustainable power systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind power; Environmental science; Meteorology; Computer science; Electrical engineering; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002487807,0.0003090721,0.0009390642,0.0008675604,0.0001781195,0.0004688146,0.001369936,0.0002049781,0.002161489],"category_scores_gemma":[0.0002984653,0.0002963846,0.0002144524,0.0007124963,0.0001117223,0.001670202,0.0003459013,0.0002634944,0.000007366998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266025,"about_ca_system_score_gemma":0.0001625954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00566357,"about_ca_topic_score_gemma":0.0004421844,"domain_scores_codex":[0.9962354,0.0007884498,0.001413787,0.000434269,0.0006971263,0.0004309179],"domain_scores_gemma":[0.9975978,0.0002253993,0.001088383,0.000474933,0.0004286736,0.0001848171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003769912,0.0004756056,0.3689924,0.0008099016,0.0004553772,0.0001106298,0.0009405746,0.4140354,0.176182,0.02753829,0.005337814,0.004744992],"study_design_scores_gemma":[0.006897793,0.0001686003,0.555908,0.004082923,0.0002453053,0.0002577714,0.002679291,0.1017073,0.2689548,0.003976501,0.05255925,0.002562416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733916,0.001579571,0.003899838,0.00001782715,0.0009964921,0.0002538318,0.00001136708,0.00002750471,0.01982195],"genre_scores_gemma":[0.9985545,0.0001170495,0.0003622466,0.00004006023,0.0002531451,0.00003323943,0.00001894998,0.00004541564,0.0005753853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3123281,"threshold_uncertainty_score":0.9999488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552582719693551,"score_gpt":0.4552983320207378,"score_spread":0.3000400600513827,"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."}}