{"id":"W2503981427","doi":"10.4018/978-1-4666-5844-8.ch011","title":"Knowledge Sharing between Local Government and Rural Remote Communities in Tanzania","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in finance, accounting, and economics book series","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Government (linguistics); Public relations; Phone; Business; Context (archaeology); Knowledge sharing; 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":[0.001080859,0.0001256206,0.000138157,0.0007832693,0.004129245,0.002703682,0.0005675512,0.0006124738,0.004610666],"category_scores_gemma":[0.001517421,0.000159237,0.0001240711,0.001198785,0.001994985,0.002198135,0.002397774,0.0004649983,0.0002489566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232044,"about_ca_system_score_gemma":0.004250454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170968,"about_ca_topic_score_gemma":0.02799237,"domain_scores_codex":[0.9993054,0.0003369678,0.00002260743,0.00005671271,0.0001177477,0.0001606609],"domain_scores_gemma":[0.9990458,0.0005536505,0.0001325594,0.00003906883,0.00005940242,0.0001695076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008061956,0.0002094781,0.01714199,0.0005001867,0.00001525074,0.002572479,0.7241498,0.0003270914,0.001672837,0.03144528,0.009578733,0.2123063],"study_design_scores_gemma":[0.00003114874,0.000339638,0.09333427,0.001269272,0.00002555159,0.001446557,0.7140144,0.0009225251,0.0006998397,0.009453294,0.1784303,0.00003329556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888248,0.007596376,0.0006362467,0.006583926,0.00004291507,0.00007554107,0.00003528071,0.00003026154,0.09675147],"genre_scores_gemma":[0.9863793,0.001758296,0.000310834,0.000209123,0.00001065712,0.00002407761,0.00001730254,0.000004168524,0.01128626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170968,"threshold_uncertainty_score":0.02345026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456995900115939,"score_gpt":0.2423996629964323,"score_spread":0.2278297039952729,"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."}}