{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00388384,0.0002929148,0.000395721,0.00117393,0.0009905135,0.005644646,0.0008422285,0.002898074,0.06559578],"category_scores_gemma":[0.01502399,0.000269323,0.0005727021,0.00166971,0.0009893361,0.004030678,0.001977007,0.002913948,0.009328423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006260168,"about_ca_system_score_gemma":0.009566114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09786136,"about_ca_topic_score_gemma":0.131079,"domain_scores_codex":[0.9976003,0.0004966294,0.00007458857,0.0002478911,0.0008811753,0.0006994466],"domain_scores_gemma":[0.9949813,0.001790057,0.0004282584,0.0002523209,0.001609711,0.0009382935],"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":[0.0001846741,0.000069529,0.002950657,0.0002018969,0.00001626275,0.00007970141,0.0001631916,0.0002100832,0.0001396351,0.1129888,0.8092613,0.07373435],"study_design_scores_gemma":[0.00007719016,0.00003122094,0.01828962,0.0004301243,0.00003265505,0.00004905967,0.0004506142,0.0002181151,0.0002770805,0.008343816,0.9717756,0.00002481211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01337883,0.02257256,0.0004674809,0.209854,0.00461578,0.00007203448,0.008026454,0.0002636078,0.7407494],"genre_scores_gemma":[0.2892117,0.02345722,0.001203059,0.0635969,0.002238595,0.0002202631,0.004525852,0.0004652461,0.6150812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09786136,"threshold_uncertainty_score":0.2194397,"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."}}