{"id":"W2145088613","doi":"","title":"Building Capacity to Develop and Use Science, Technology and Innovation Indicators for Grassroots Innovation","year":2012,"lang":"en","type":"article","venue":"African Journal of Science Technology Innovation and Development","topic":"ICT Impact and Policies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassroots; Capacity building; Economic growth; Political science; Technology innovation; Technology development; Regional science; Business; Engineering; Sociology; Economics; Industrial organization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01885746,0.0006657928,0.0005318918,0.004829094,0.003060604,0.008008122,0.001168968,0.001440819,0.006089395],"category_scores_gemma":[0.03173251,0.0003364721,0.0004789592,0.005102577,0.003428556,0.006953219,0.008649091,0.002165938,0.000775956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005797409,"about_ca_system_score_gemma":0.01797118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009111204,"about_ca_topic_score_gemma":0.01370806,"domain_scores_codex":[0.9902998,0.004574505,0.0005074061,0.0004477958,0.002154127,0.002016393],"domain_scores_gemma":[0.9549864,0.02716804,0.004301026,0.002720849,0.007215613,0.003608094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002152919,0.0009763893,0.1265739,0.003223955,0.0001782846,0.00135672,0.0509117,0.01143342,0.01048731,0.1113976,0.04858012,0.6346653],"study_design_scores_gemma":[0.0001298337,0.001048504,0.2310386,0.002455514,0.0001262516,0.0006603028,0.08510014,0.007549136,0.0182067,0.05679082,0.596582,0.0003122731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6524416,0.006507894,0.03913111,0.05617267,0.0009653253,0.002163272,0.0008620987,0.0005805678,0.2411754],"genre_scores_gemma":[0.9595054,0.002562611,0.02906425,0.0005894033,0.0001387797,0.0003934963,0.0003294527,0.00008281507,0.00733369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01885746,"threshold_uncertainty_score":0.099729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946082666648479,"score_gpt":0.2821331254707943,"score_spread":0.2526722988043095,"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."}}