{"id":"W2591793832","doi":"","title":"Engagement in the Knowledge Economy: Regional Patterns of Content Creation with a Focus on Sub-Saharan Africa","year":2017,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Economic Growth and Development","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University; European Commission","keywords":"Democratization; Enabling; Knowledge economy; Content creation; The Internet; Digital content; Digital economy; Public domain; Knowledge management; Business; Political science; Regional science; Democracy; Sociology; Computer science; Geography; World Wide Web; Advertising","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005018744,0.0001173099,0.0002128266,0.0001834179,0.0002684905,0.00004171917,0.001306491,0.00004421568,0.00001775339],"category_scores_gemma":[0.00001824088,0.0001028517,0.00006938048,0.00007927183,0.0001063168,0.0003514728,0.0002421061,0.0001183466,0.00003604541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139263,"about_ca_system_score_gemma":0.0001633297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624362,"about_ca_topic_score_gemma":0.001473015,"domain_scores_codex":[0.9991847,0.000080249,0.0001582331,0.0002946949,0.0001011989,0.0001809855],"domain_scores_gemma":[0.998737,0.0001081432,0.0002898615,0.0006876961,0.0001182515,0.00005908517],"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":[0.0008654292,0.003214025,0.1768388,0.0004282672,0.0004334285,0.0001607755,0.1194052,0.00005673725,0.0004959815,0.5377948,0.0188183,0.1414883],"study_design_scores_gemma":[0.004394378,0.0007230461,0.9415138,0.0004649228,0.00003460415,0.000007113073,0.002525209,0.002771405,0.001467124,0.003824115,0.04185691,0.000417303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476183,0.0002505261,0.02024472,0.003469964,0.0001695247,0.0005825221,0.000007588842,0.00002875869,0.127628],"genre_scores_gemma":[0.998592,0.00007148148,0.000761673,0.00002366756,0.00001597824,0.000001957413,0.000002540093,0.000003804327,0.0005269676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7646751,"threshold_uncertainty_score":0.4194172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05463375759372597,"score_gpt":0.2142779531408156,"score_spread":0.1596441955470896,"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."}}