{"id":"W7006717496","doi":"","title":"WHO PAYS FOR RENEWABLES? THE EFFECT OF\\nDATACENTRES ON RENEWABLE SUBSIDIES. ESRI Research Bulletin 2019/11","year":2019,"lang":"en","type":"other","venue":"Archive of European Integration (AEI) (University of Pittsburgh)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bulletin of Medical History","funders":"","keywords":"Renewable energy; Electricity; Obligation; Electricity system; Renewable resource; Service (business); Electricity retailing; Electricity demand","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003813077,0.0006679942,0.001290344,0.001792687,0.0003493954,0.00004343427,0.002408052,0.0002171033,0.001615741],"category_scores_gemma":[0.001068493,0.0005569374,0.0006594174,0.0006885252,0.00168428,0.0001339864,0.0007291277,0.0006066363,0.0009187095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657919,"about_ca_system_score_gemma":0.0001805513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01545122,"about_ca_topic_score_gemma":0.005738453,"domain_scores_codex":[0.9926107,0.003823749,0.000592833,0.001041534,0.00120782,0.0007233816],"domain_scores_gemma":[0.9927109,0.002805325,0.001686678,0.002056308,0.0005661318,0.0001746917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002067763,0.000149079,0.0001620259,0.0005062921,0.0003966072,0.0000146885,0.001382574,0.0003655063,0.00718352,0.004598248,0.9818757,0.001298009],"study_design_scores_gemma":[0.002870203,0.00238359,0.0005354326,0.003248699,0.0002941927,0.00000267077,0.002259284,0.0001597047,0.003117475,0.0006230783,0.9840094,0.0004962282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001947298,0.0009919042,0.02217741,0.0010559,0.0006247464,0.005958733,0.006659436,0.0002801624,0.9603044],"genre_scores_gemma":[0.01610978,0.002384258,0.001668908,0.00004419169,0.0004883624,0.000007577863,0.002518144,0.001691993,0.9750868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02050851,"threshold_uncertainty_score":0.9998592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197149138425953,"score_gpt":0.2549625662872868,"score_spread":0.2329910749030272,"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."}}