{"id":"W1995397163","doi":"10.5555/1812530.1812573","title":"Regulatory independence and wireless market development: a comparative analysis of two African nations","year":2009,"lang":"en","type":"article","venue":"Information and Communication Technologies and Development","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Independence (probability theory); Tanzania; Business; Wireless; Economics; Development economics; Public economics; Telecommunications; Engineering; Socioeconomics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008467053,0.0001111337,0.000144425,0.001403178,0.0009502193,0.001379053,0.0001630757,0.0002341986,0.002891288],"category_scores_gemma":[0.002186483,0.0001012965,0.0001561057,0.001865104,0.00113498,0.001147426,0.0009523717,0.0004039921,0.00008302174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410365,"about_ca_system_score_gemma":0.0009379717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122458,"about_ca_topic_score_gemma":0.02648181,"domain_scores_codex":[0.9996597,0.0001232366,0.00001106344,0.00002028264,0.00004500926,0.0001407463],"domain_scores_gemma":[0.9984485,0.0008403056,0.000427571,0.00003204453,0.0001288833,0.0001226441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007442344,0.0006015704,0.6619059,0.0005895731,0.0001534311,0.007263722,0.03955273,0.004132594,0.007533897,0.1850836,0.001732139,0.0907067],"study_design_scores_gemma":[0.00005372531,0.0003102468,0.9099207,0.0002142611,0.00008984144,0.0007253105,0.05663266,0.002571034,0.001796943,0.003788874,0.02386197,0.00003432041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908904,0.0003829256,0.0001764326,0.0001187346,0.00000286673,0.00001129651,0.00003189934,8.678758e-7,0.008384552],"genre_scores_gemma":[0.9990458,0.0003006474,0.00009347684,0.00002005123,0.000001559213,0.000006661793,0.00002576703,7.29885e-7,0.0005053368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122458,"threshold_uncertainty_score":0.02434903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463734927994318,"score_gpt":0.2493256943064195,"score_spread":0.2346883450264763,"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."}}