{"id":"W3123826460","doi":"","title":"Impact of German Energiewende on Transmission Lines in the Central European Region","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; Grantová Agentura České Republiky; European Commission; Univerzita Karlova v Praze","keywords":"Renewable energy; Electric power transmission; Wind power; Transmission (telecommunications); Electricity; Environmental science; Grid; Photovoltaic system; Engineering; Electrical engineering; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005877894,0.0005694366,0.0004263523,0.0008565551,0.000393902,0.002209558,0.0003407771,0.0004963207,0.002270724],"category_scores_gemma":[0.001165017,0.0001953695,0.0004302757,0.001642437,0.000423322,0.0006958469,0.0006940815,0.000313211,0.0002121267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937714,"about_ca_system_score_gemma":0.00052241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04599042,"about_ca_topic_score_gemma":0.02892513,"domain_scores_codex":[0.9995368,0.0001801956,0.00001747988,0.0000677815,0.0001023176,0.0000954547],"domain_scores_gemma":[0.9995586,0.0001436304,0.0001439188,0.0000382122,0.00008255945,0.00003297772],"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":[0.001065564,0.0001572585,0.05031923,0.0001985698,0.0003798351,0.002478608,0.0004037524,0.8864356,0.007414679,0.01544267,0.002634224,0.03306996],"study_design_scores_gemma":[0.0006204844,0.001237238,0.4514967,0.0005405297,0.0009679557,0.001770518,0.006609465,0.427278,0.03355753,0.0145651,0.06108235,0.0002740821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878473,0.0007545839,0.0009279124,0.0001298384,0.00001206244,0.00001147056,0.000707578,0.00007504631,0.009534269],"genre_scores_gemma":[0.998691,0.0001962472,0.0001770461,0.00001711739,0.000001693707,0.000003916959,0.0002434332,0.00001062742,0.0006589939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04599042,"threshold_uncertainty_score":0.09144545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529861396461697,"score_gpt":0.3005140121953692,"score_spread":0.2752153982307523,"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."}}