{"id":"W2030385125","doi":"10.1163/156915002100419790","title":"ICT, Local Government Capacity Building, and Civic Engagement: An Evaluation of the Sample Initiative in Ghana","year":2002,"lang":"en","type":"article","venue":"Perspectives on Global Development and Technology","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Social Sciences and Humanities Research Council of Canada; University of Calgary","keywords":"Panacea (medicine); Politics; Information and Communications Technology; Transparency (behavior); Public relations; Civic engagement; Government (linguistics); Local government; Function (biology); Sample (material); Business; Knowledge management; Sociology; Political science; Public administration; 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":[0.007009067,0.0004734029,0.0004541824,0.0008797991,0.003069678,0.001917014,0.0009589563,0.0007773105,0.006374395],"category_scores_gemma":[0.00944842,0.0002670713,0.0003106099,0.001528552,0.002626113,0.001754536,0.002100078,0.001168465,0.0006686322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00620741,"about_ca_system_score_gemma":0.005532798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02443457,"about_ca_topic_score_gemma":0.05424995,"domain_scores_codex":[0.9955301,0.003344866,0.0001127353,0.0001641924,0.0002901743,0.0005579831],"domain_scores_gemma":[0.9904827,0.004909474,0.001005207,0.0004421808,0.001171083,0.001989405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006179457,0.06356245,0.3184909,0.002932363,0.0001871207,0.005805803,0.3004449,0.004834696,0.004906885,0.01648282,0.0102926,0.26588],"study_design_scores_gemma":[0.002921666,0.03304919,0.2557951,0.001024508,0.0002384987,0.0006366239,0.6528568,0.004015304,0.004025642,0.002960169,0.04237831,0.00009825123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899706,0.00005583841,0.00027168,0.0003726505,0.00001032877,0.0008595973,0.00008507247,0.00001578542,0.00835847],"genre_scores_gemma":[0.9956227,0.0001432195,0.00119572,0.0001269539,0.000006866513,0.001191084,0.0001083746,0.000009520245,0.001595499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443457,"threshold_uncertainty_score":0.0485847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543556855080902,"score_gpt":0.298805754183894,"score_spread":0.243370185633085,"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."}}