{"id":"W4247889748","doi":"10.4018/978-1-4666-9562-7.ch080","title":"Knowledge Sharing between Local Government and Rural Remote Communities in Tanzania","year":2015,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Government (linguistics); Public relations; Business; Phone; Knowledge sharing; Context (archaeology); Local government; Economic growth; Political science; Geography; Knowledge management; Public administration","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":[0.0008483228,0.0001359255,0.0001375619,0.0007285133,0.00408945,0.002841412,0.0005515997,0.0006859994,0.005709379],"category_scores_gemma":[0.001143213,0.0001654984,0.0001282085,0.001264102,0.001831612,0.002229274,0.002072616,0.0005242649,0.0003205912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003235559,"about_ca_system_score_gemma":0.003530353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111186,"about_ca_topic_score_gemma":0.02853244,"domain_scores_codex":[0.9995204,0.0002161533,0.00001683688,0.00004419814,0.00008044586,0.0001219892],"domain_scores_gemma":[0.9993196,0.0004181335,0.00008164269,0.00002328575,0.00003637833,0.0001210522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008085233,0.0001772338,0.01122016,0.0007213867,0.00001122588,0.002809967,0.706157,0.0002364318,0.001932321,0.03712607,0.01174998,0.2277774],"study_design_scores_gemma":[0.00002806724,0.0003161369,0.0737429,0.001699717,0.00002287712,0.002052199,0.6552146,0.0006501413,0.0007908571,0.00897631,0.2564742,0.00003196435],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332857,0.01714794,0.0009692169,0.009327542,0.00009208969,0.0001042825,0.00005058554,0.00004810156,0.1389745],"genre_scores_gemma":[0.9718802,0.003693003,0.0004806796,0.0003417067,0.00001920133,0.00003363984,0.00002665901,0.000007541899,0.02351734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111186,"threshold_uncertainty_score":0.02347577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468089672827251,"score_gpt":0.2749895515571976,"score_spread":0.2203086548289251,"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."}}