{"id":"W3108508050","doi":"10.1080/19186444.2020.1849936","title":"Influence of digital economy on youth unemployment in West Africa","year":2020,"lang":"en","type":"article","venue":"Transnational Corporation Review","topic":"Economic Growth and Development","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Youth unemployment; Unit root; Unemployment rate; The Internet; Economics; Estimation; Development economics; Economic growth; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001387628,0.00008401417,0.0001716905,0.00005021646,0.00001529037,0.00003305451,0.0002557817,0.00001759675,0.00001808361],"category_scores_gemma":[0.00001999825,0.00008082087,0.00003907091,0.000272312,0.00001507899,0.0005495853,0.00001745208,0.00005163317,0.00004549527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003492428,"about_ca_system_score_gemma":0.000146572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.478706e-7,"about_ca_topic_score_gemma":0.000001381461,"domain_scores_codex":[0.9991201,0.00002072349,0.0004441212,0.000208923,0.000127762,0.00007843922],"domain_scores_gemma":[0.9995731,0.00003800756,0.0001451025,0.0001071272,0.00007074919,0.00006591767],"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":[0.000006489472,0.00005815805,0.002217567,0.000334821,0.000007085483,0.000001661579,0.0005330748,0.004314249,0.0000100825,0.9902651,0.0001538388,0.002097852],"study_design_scores_gemma":[0.01144409,0.003448696,0.3299688,0.006214142,0.0001475776,0.00002725659,0.0002135764,0.07043023,0.005076029,0.2622704,0.3056391,0.005120091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4422674,0.007426145,0.173538,0.307166,0.0002343415,0.00442818,0.0002080377,0.0003425727,0.06438927],"genre_scores_gemma":[0.9963338,0.0001586026,0.001202554,0.002227385,0.000006299585,0.00002268014,0.00003687646,0.000002874104,0.000008877042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7279947,"threshold_uncertainty_score":0.329578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05419701933853083,"score_gpt":0.2339623743759026,"score_spread":0.1797653550373717,"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."}}