{"id":"W6890071165","doi":"10.34726/hss.2019.42784</div>\\n</div&gt","title":"Empirische Analyse der Preisbildung im österreichischen Regelenergiemarkt","year":2019,"lang":"de","type":"article","venue":"reposiTUm (TU Wien)","topic":"Renewable Energy and Sustainability","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Stock (firearms); Quarter (Canadian coin); Energy (signal processing); Electricity; Control (management); Regression analysis; Production (economics); Control variable","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":[0.001708695,0.0003243743,0.0007462071,0.001823103,0.0004673343,0.002585136,0.0004608327,0.0005477149,0.0100106],"category_scores_gemma":[0.009176661,0.000283661,0.000805106,0.00256529,0.000523332,0.001302213,0.000899341,0.001297445,0.001332528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665645,"about_ca_system_score_gemma":0.0008718141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03200321,"about_ca_topic_score_gemma":0.02731937,"domain_scores_codex":[0.9989881,0.0002813319,0.00007793077,0.0002260809,0.0002602212,0.0001664139],"domain_scores_gemma":[0.9927282,0.005662423,0.0007446298,0.0002380509,0.0003461771,0.0002806006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002411747,0.0005462178,0.7946578,0.0004177193,0.0005252261,0.001587103,0.002531094,0.08388381,0.0005588801,0.02815057,0.008843072,0.07805733],"study_design_scores_gemma":[0.00003718993,0.00019226,0.8589388,0.0002174804,0.0002277912,0.0002420979,0.006181071,0.1001812,0.0005457739,0.00983486,0.02335558,0.00004604834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765589,0.001555367,0.003449639,0.0006578584,0.00003455454,0.00006813514,0.002374591,0.00005259705,0.01524831],"genre_scores_gemma":[0.9946367,0.0005138649,0.000450448,0.00003228016,0.00001924777,0.00003243495,0.002020357,0.00001034498,0.002284371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03200321,"threshold_uncertainty_score":0.06363386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007133452138700491,"score_gpt":0.2361584855338759,"score_spread":0.2290250333951754,"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."}}