{"id":"W3014799374","doi":"10.1111/cag.12608","title":"When open data and data activism meet: An analysis of civic participation in Cape Town, South Africa","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Civil society; Open government; Openness to experience; Open data; Transparency (behavior); Civic engagement; Government (linguistics); Public engagement; Cape; Public administration; Political science; Human settlement; Public relations; Sociology; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001561083,0.0004574567,0.0003938214,0.003327649,0.007406245,0.004556034,0.0008806701,0.000974565,0.005363652],"category_scores_gemma":[0.006676068,0.0004609885,0.0003040232,0.00472777,0.004224655,0.002982516,0.003935878,0.001523145,0.0003801883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009764874,"about_ca_system_score_gemma":0.005138085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.228282,"about_ca_topic_score_gemma":0.3663789,"domain_scores_codex":[0.9980643,0.0006479634,0.00007250456,0.0001964077,0.0001977221,0.0008211026],"domain_scores_gemma":[0.9957144,0.002055921,0.0007929245,0.0001313491,0.0003294823,0.0009759102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001186446,0.0001426818,0.1830151,0.0002717151,0.00003832351,0.004230314,0.7855507,0.0002251461,0.001433109,0.005677194,0.002051469,0.01724556],"study_design_scores_gemma":[0.000006123684,0.00003015393,0.2686402,0.0001946681,0.00001074102,0.0001856066,0.7186261,0.0001866256,0.0001113082,0.0003712741,0.01161812,0.00001911163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937229,0.0001551694,0.00009050519,0.0007977296,0.000006681251,0.00005557368,0.0001347092,0.000002063417,0.005034665],"genre_scores_gemma":[0.997588,0.0002006515,0.0001121497,0.00009787416,0.000005113003,0.00008635857,0.00009179208,0.000006008128,0.001811993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9991193,"threshold_uncertainty_score":0.4539065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06269912957589614,"score_gpt":0.2924006410574078,"score_spread":0.2297015114815117,"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."}}