{"id":"W2966075840","doi":"10.1109/rams.2019.8769052","title":"Organizational Productivity Measurement Method Applied on Electric Utility Company","year":2019,"lang":"en","type":"article","venue":"","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Positive Living North","funders":"","keywords":"Productivity; Electric utility; Indonesian; Business; Industrial organization; Computer science; Industrial engineering; Knowledge management; Engineering; Economics; Electrical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0131989,0.0001662398,0.000374052,0.0003964848,0.0001665992,0.0001628486,0.0007229205,0.00005926575,0.00382923],"category_scores_gemma":[0.003682146,0.0001131748,0.00009786272,0.003839862,0.00003482089,0.0001100101,0.00009579903,0.0001760743,0.004524352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404392,"about_ca_system_score_gemma":0.0002233234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001849238,"about_ca_topic_score_gemma":0.00002208315,"domain_scores_codex":[0.9933068,0.0004537324,0.0005539434,0.001009423,0.004392035,0.0002841069],"domain_scores_gemma":[0.996607,0.0008370459,0.000216566,0.001145352,0.001110838,0.00008317988],"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":[0.0003648312,0.003752588,0.1592661,0.00002300258,0.0002576419,0.000002558294,0.0007253323,0.02202025,0.3401171,0.3280053,0.02565109,0.1198142],"study_design_scores_gemma":[0.001137464,0.0002520652,0.4494797,0.00001198535,0.00009218237,0.000007887449,0.0002857997,0.1719237,0.2272518,0.129585,0.01901088,0.0009616201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4065756,0.00003323032,0.3352237,0.002243202,0.0004481048,0.0007403549,0.000002965005,0.0001846604,0.2545481],"genre_scores_gemma":[0.9923099,2.575359e-7,0.005575954,0.0003699829,0.00005249787,0.000004192297,0.000001781433,0.000009738468,0.001675745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5857342,"threshold_uncertainty_score":0.9970814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143050440003868,"score_gpt":0.3663631305851109,"score_spread":0.2520580865847241,"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."}}