{"id":"W1963444765","doi":"10.1163/2210-7975_hrd-0148-2015042","title":"The Future of Knowledge Sharing in a Digital Age: Exploring Impacts and Policy Implications for Development","year":2018,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New Partnership for Africa's Development; International Development Research Centre; United Nations Development Programme; Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia; Department for International Development; Consortium of International Agricultural Research Centers; Government of the United Kingdom","keywords":"Intermediary; Government (linguistics); Public relations; Futures studies; Politics; Knowledge sharing; Political science; Diversity (politics); Digital divide; Set (abstract data type); Business; Knowledge management; Information and Communications Technology; Internet privacy; Marketing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003079608,0.0003778997,0.0005802877,0.00424369,0.0009947778,0.004009404,0.001679739,0.001123174,0.01280488],"category_scores_gemma":[0.01763981,0.0002106046,0.0006603166,0.01071655,0.0007077529,0.005244637,0.002748615,0.001874037,0.003306928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004608872,"about_ca_system_score_gemma":0.004265589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08134707,"about_ca_topic_score_gemma":0.1392557,"domain_scores_codex":[0.9983701,0.0007502582,0.0001576198,0.0002413776,0.0002310116,0.0002497159],"domain_scores_gemma":[0.9929667,0.003615077,0.001004888,0.000659372,0.00124469,0.0005094098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002863692,0.0001558587,0.1375207,0.004147906,0.0002329919,0.0002391597,0.001044318,0.004840135,0.0001518671,0.05748488,0.7477513,0.04614462],"study_design_scores_gemma":[0.0001698553,0.00002612794,0.06626809,0.003460868,0.0001109624,0.0001939331,0.006414445,0.006866915,0.0003616091,0.0330556,0.8830065,0.00006519044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02599426,0.007095561,0.001626261,0.02944574,0.0001630805,0.0001095984,0.9187578,0.000159096,0.01664866],"genre_scores_gemma":[0.1137672,0.007913141,0.004532898,0.002209933,0.0001181109,0.0006388625,0.8669619,0.00007668251,0.003781239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08134707,"threshold_uncertainty_score":0.1617472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07294562867110398,"score_gpt":0.3642513513720165,"score_spread":0.2913057227009125,"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."}}