{"id":"W2087090785","doi":"10.1016/j.telpol.2011.03.006","title":"Benchmarking telecoms regulation – The Telecommunications Regulatory Governance Index (TRGI)","year":2011,"lang":"en","type":"article","venue":"Telecommunications Policy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmarking; Transparency (behavior); Corporate governance; Index (typography); Politics; Telecommunications; Business; Economics; Political science; Engineering; Marketing; Computer science; Finance","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003630674,0.0002855331,0.0002274705,0.0002318402,0.0008295375,0.00008024917,0.001916111,0.0001586771,0.0003929342],"category_scores_gemma":[0.0001003931,0.0002539179,0.0001320542,0.001124221,0.0003186686,0.0003932449,0.0002725894,0.0005826449,0.000189193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984106,"about_ca_system_score_gemma":0.0001383159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959269,"about_ca_topic_score_gemma":0.001071555,"domain_scores_codex":[0.9984741,0.0001666558,0.000517825,0.0001041785,0.0002033313,0.0005338995],"domain_scores_gemma":[0.9960821,0.0002564466,0.0001628125,0.003279832,0.000101366,0.0001174452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003205833,0.0004894878,0.01639322,0.00009843316,0.0005579677,6.482449e-7,0.06862626,0.01532532,0.002984943,0.616693,0.06748396,0.2113146],"study_design_scores_gemma":[0.0003469333,0.00004165979,0.8366526,0.00005796771,0.00004888439,0.00004109817,0.000715116,0.01256605,0.001861859,0.005767153,0.1412949,0.0006057788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3589807,0.003927072,0.002890499,0.005918053,0.0003928441,0.001018754,0.00007765828,0.001867121,0.6249273],"genre_scores_gemma":[0.9932511,0.001827985,0.003014081,0.0004193215,0.0002718638,0.0001508187,0.00005449226,0.00007888225,0.0009314194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8202593,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397066888263513,"score_gpt":0.2544682301708163,"score_spread":0.2304975612881812,"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."}}