{"id":"W2070544587","doi":"10.5539/ass.v8n3p3","title":"Benchmarking Electric Distribution Utilities in the Philippines","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Electric Power System Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yardstick; Benchmarking; Flexibility (engineering); Competition (biology); Distribution (mathematics); Commission; Benchmark (surveying); Economics; Business; Industrial organization; Public economics; Microeconomics; Environmental economics; Marketing; Finance","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":[0.0008260934,0.00006702723,0.00006563842,0.00007059167,0.0002593313,0.00005900405,0.0002430851,0.00003537234,0.00000897477],"category_scores_gemma":[0.00005642255,0.0000551498,0.00001909848,0.001957278,0.00007171755,0.0004668406,0.00001221959,0.00009515289,0.000007889656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187808,"about_ca_system_score_gemma":0.00002799752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039275,"about_ca_topic_score_gemma":0.000005574931,"domain_scores_codex":[0.9990618,0.00003735502,0.0001175399,0.00008411499,0.0002774342,0.0004217274],"domain_scores_gemma":[0.9998218,0.00002659583,0.00002078248,0.00007824303,0.00002310774,0.00002942023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006527888,0.0001373336,0.04078804,0.00009340152,0.00001671521,0.000003559179,0.0576841,0.0003103279,0.007254736,0.1605213,0.005787966,0.727396],"study_design_scores_gemma":[0.0002020117,0.00003293206,0.9703291,0.00002394619,0.00001226105,0.00002066609,0.002667496,0.01524447,0.001878602,0.0009122429,0.008272443,0.0004038066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2416022,0.001753183,0.05070707,0.0007702531,0.002171375,0.0007307366,0.00001098306,0.0004713535,0.7017828],"genre_scores_gemma":[0.999599,0.00001011911,0.00004017111,0.00002064966,0.000295108,0.00001566424,0.000004913286,0.000004429911,0.00000997325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9295411,"threshold_uncertainty_score":0.2248944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00825239921251893,"score_gpt":0.2266766194514069,"score_spread":0.2184242202388879,"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."}}