{"id":"W2042363714","doi":"10.5539/ass.v4n1p26","title":"Supervisory Framework of China Electric Power Universal Service","year":2007,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Supervisor; Government (linguistics); Service (business); Electric power; Universal service; Electric power industry; Order (exchange); Business; Premise; Power (physics); China; Electricity; Risk analysis (engineering); Public relations; Industrial organization; Finance; Marketing; Computer science; Economics; Telecommunications; Electrical engineering; Engineering; Management; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004401005,0.00008280257,0.00011335,0.0001191067,0.0001453331,0.00002018043,0.0003542494,0.00008268953,0.00005015618],"category_scores_gemma":[0.00001995442,0.00008576795,0.00003701761,0.0018769,0.00009045671,0.00018329,0.00002717788,0.0001482786,0.00003319872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008349603,"about_ca_system_score_gemma":0.00005484323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000533323,"about_ca_topic_score_gemma":0.00001724852,"domain_scores_codex":[0.9990649,0.000009874823,0.000136696,0.0001282204,0.0003035546,0.0003568099],"domain_scores_gemma":[0.9996935,0.00002427484,0.00002433506,0.0001205243,0.0000529522,0.00008445248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008022445,0.000254748,0.0317905,0.0004035452,0.0001474676,0.00009199277,0.219768,0.0002252259,0.334538,0.256102,0.01886901,0.1377293],"study_design_scores_gemma":[0.0003055067,0.00008437534,0.9351722,0.00006778174,0.00001589307,0.000012843,0.005995067,0.0004243196,0.01830928,0.0008211831,0.03821234,0.0005791721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4952752,0.0001167459,0.005531148,0.0001422007,0.003101343,0.00008986104,0.000002854831,0.0001570937,0.4955836],"genre_scores_gemma":[0.9992617,0.000002746874,0.0001596191,0.00005221171,0.0004819523,5.00289e-7,3.719845e-7,0.000009837869,0.00003105848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9033817,"threshold_uncertainty_score":0.3497515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006922234001623059,"score_gpt":0.2184335113524301,"score_spread":0.211511277350807,"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."}}