{"id":"W3116677346","doi":"10.29379/jedem.v12i2.598","title":"Improving Monitoring and Evaluation in the Civic Tech Ecosystem","year":2020,"lang":"en","type":"article","venue":"JeDEM - eJournal of eDemocracy and Open Government","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Sophistication; Sustainability; Monitoring and evaluation; Resource (disambiguation); Knowledge management; Business; Computer science; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103699,0.0001090779,0.0002648034,0.00003685758,0.0001680979,0.0005668288,0.0006242534,0.00003871249,0.0002215643],"category_scores_gemma":[0.0005993802,0.00006535315,0.00003753619,0.0002758275,0.00001854917,0.0008925713,0.0003087942,0.0001884098,0.00001243904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048244,"about_ca_system_score_gemma":0.0001274914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002030911,"about_ca_topic_score_gemma":0.00002912548,"domain_scores_codex":[0.9955232,0.0003887162,0.0007527612,0.0002772333,0.002914427,0.0001437086],"domain_scores_gemma":[0.9983644,0.0006630124,0.0005662407,0.0001993388,0.0001229114,0.00008402044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002223112,0.0001069357,0.3404376,0.00005521388,0.0000351289,0.000007186712,0.006387852,0.001298581,0.004442611,0.0005693123,0.001324087,0.6451132],"study_design_scores_gemma":[0.003850775,0.0007986282,0.6397004,0.0003089861,0.00009769869,0.00005165122,0.05699017,0.269785,0.00342738,0.00336392,0.02127089,0.0003544962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754794,0.000374596,0.0002925747,0.01521568,0.0002028213,0.0007393504,0.000007463661,0.00000234574,0.007685828],"genre_scores_gemma":[0.9985519,0.0001542276,0.0004423943,0.0006315652,0.0001138588,0.00001936254,3.716638e-7,0.000004740002,0.00008156569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6447587,"threshold_uncertainty_score":0.5465943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1999756951739766,"score_gpt":0.4570129682412581,"score_spread":0.2570372730672815,"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."}}