{"id":"W7019046646","doi":"","title":"Estimating the Impact of Chinese Foreign Direct Investment on Telecommunications Penetration Rates","year":2024,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Foreign direct investment; Panel data; Broadband; Liberalization; Mobile broadband; Penetration (warfare); Penetration rate","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":[0.001726877,0.0006642371,0.0005860525,0.002139134,0.0003554877,0.00166105,0.0004884569,0.0005031444,0.003456196],"category_scores_gemma":[0.005744146,0.0003696546,0.001014463,0.002446577,0.0005140665,0.0009137513,0.0009350486,0.0008727043,0.0006708461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828719,"about_ca_system_score_gemma":0.002078524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2238518,"about_ca_topic_score_gemma":0.1109957,"domain_scores_codex":[0.999262,0.0001989873,0.00005115571,0.0001476356,0.0001434733,0.0001968306],"domain_scores_gemma":[0.9965926,0.001918403,0.0006502194,0.0002509046,0.0003378659,0.0002500086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007282148,0.00005187998,0.9600674,0.00004801158,0.0002413459,0.0003794131,0.000180027,0.02405348,0.000341805,0.001491884,0.001435537,0.01163638],"study_design_scores_gemma":[0.00003100719,0.0001107079,0.9038711,0.00004808028,0.0003628918,0.00008117901,0.000973837,0.08847313,0.001125609,0.0007349144,0.004132971,0.000054636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922396,0.0003918769,0.000951507,0.0003356811,0.00001635922,0.00002118565,0.002968125,0.00004159561,0.003034144],"genre_scores_gemma":[0.9937476,0.0003226027,0.0003206421,0.00004353467,0.00001391444,0.00002507244,0.003886818,0.000009026208,0.001630723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238518,"threshold_uncertainty_score":0.4450976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941240909081067,"score_gpt":0.3074711348507513,"score_spread":0.2880587257599406,"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."}}