{"id":"W1595038554","doi":"","title":"Efficient but sufficient support of all RES technologies in times of volatile raw energy prices","year":2010,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Wind power; Investment (military); Context (archaeology); Order (exchange); Environmental economics; Directive; Economics; Efficient energy use; Business; Industrial organization; Natural resource economics; Commerce; Engineering; Computer science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007999757,0.0004264668,0.0004838433,0.0002918455,0.0001883318,0.001371467,0.000621962,0.001001842,0.003110213],"category_scores_gemma":[0.00368435,0.000298316,0.0006116349,0.0004135534,0.0005407373,0.001827894,0.0007600923,0.0006375472,0.0006119277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004429376,"about_ca_system_score_gemma":0.0007000983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157412,"about_ca_topic_score_gemma":0.0009833351,"domain_scores_codex":[0.9994788,0.0001186687,0.00003192259,0.00009240211,0.0001539529,0.0001242875],"domain_scores_gemma":[0.9984621,0.0007890695,0.0004246712,0.0001261534,0.0001378917,0.0000600303],"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":[0.0001573868,0.00008705794,0.01362367,0.0002995071,0.00006603373,0.0005341441,0.00009158499,0.8728417,0.01280284,0.06228338,0.00112949,0.03608321],"study_design_scores_gemma":[0.00002808969,0.0002235452,0.01978864,0.00005739271,0.00003490412,0.0003179292,0.0002377082,0.8942208,0.009428743,0.07055404,0.005059949,0.00004821052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6900162,0.000764052,0.2776972,0.001455099,0.00009199629,0.00009199086,0.0008484513,0.0003241769,0.02871089],"genre_scores_gemma":[0.9944496,0.000153743,0.004050176,0.0000201171,0.00001473308,0.00001682932,0.0001077301,0.00002620409,0.00116081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003110213,"threshold_uncertainty_score":0.01040465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058607517473066,"score_gpt":0.2548973060597741,"score_spread":0.2443112308850435,"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."}}