{"id":"W2400222574","doi":"10.58079/o9ot","title":"Global Smart Grid Energy Federation 2012 report","year":2012,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Russian federation; Smart grid; Geography; Art; Engineering; Regional science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003458596,0.0003049675,0.0002990492,0.0001131556,0.0002827743,0.0002040724,0.000242782,0.0002692186,0.0009047578],"category_scores_gemma":[0.00005855612,0.0003109568,0.0001089556,0.0003348746,0.00005961888,0.01220752,0.00008778152,0.0001355982,0.000673608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273619,"about_ca_system_score_gemma":0.00003332503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009936748,"about_ca_topic_score_gemma":0.0009936368,"domain_scores_codex":[0.9981576,0.0000443302,0.0005511681,0.0002904625,0.0004006193,0.0005558342],"domain_scores_gemma":[0.9990144,0.00003182322,0.0001348647,0.0004993205,0.0001201575,0.0001994779],"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":[0.00002160578,0.0002131278,0.003834463,0.00009188247,0.0001793358,0.0001346126,0.00003662556,0.0008212863,0.0007793146,0.4145327,0.5682346,0.01112047],"study_design_scores_gemma":[0.0004662688,0.00005587163,0.04375396,0.00007167424,0.00003941904,0.0007433431,0.00008943288,0.000396566,0.005838146,0.001408148,0.9465349,0.0006023307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03756312,0.007607176,0.287424,0.01341147,0.05621573,0.001450945,0.001197424,0.00751025,0.5876199],"genre_scores_gemma":[0.9930042,0.0001087891,0.0009257011,0.001307398,0.001605318,0.0003225793,0.001418995,0.00003862903,0.00126837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9554411,"threshold_uncertainty_score":0.9999343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147336439252687,"score_gpt":0.2174872485882902,"score_spread":0.2060138841957634,"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."}}