{"id":"W2760141556","doi":"","title":"The interaction between institutions and MNEs in Sub-Saharan Africa: Preliminary evidence from Uganda’s mobile phone and upstream oil and gas industries","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Upstream (networking); Business; Phone; Mobile phone; Downstream (manufacturing); Marketing; Industrial organization; Affect (linguistics); Political science; Computer science; Telecommunications; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002278289,0.0002528995,0.0003066121,0.001653956,0.004435487,0.002972529,0.0005120246,0.0007282759,0.003607356],"category_scores_gemma":[0.007271591,0.0003330533,0.0001433647,0.002429832,0.002857068,0.002268197,0.00410289,0.0007590707,0.000277161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921872,"about_ca_system_score_gemma":0.001654493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03640283,"about_ca_topic_score_gemma":0.06237208,"domain_scores_codex":[0.9978668,0.001255266,0.0000700443,0.0001340067,0.0001044151,0.0005694558],"domain_scores_gemma":[0.9923599,0.00408528,0.002173375,0.0002121725,0.0004732383,0.0006960898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001630839,0.0001720221,0.7698239,0.0001202516,0.0000492473,0.001895926,0.2094098,0.0001478064,0.0003938518,0.002060725,0.0003065027,0.01545694],"study_design_scores_gemma":[0.00001400055,0.0001128353,0.4231086,0.0001505884,0.00003511908,0.000239195,0.5719423,0.0002105264,0.0002378019,0.0004874489,0.00344786,0.00001371567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985752,0.0001149287,0.0000425087,0.0001060845,0.000001170832,0.000004758263,0.0000130098,3.591936e-7,0.001141972],"genre_scores_gemma":[0.9994379,0.0001665786,0.00004038393,0.00003055167,0.000001441002,0.000007850307,0.00001125364,6.357e-7,0.0003034841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03640283,"threshold_uncertainty_score":0.07238185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1400870074725589,"score_gpt":0.3669873738851628,"score_spread":0.2269003664126039,"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."}}