{"id":"W2286638398","doi":"10.15353/joci.v12i2.3221","title":"User Centred Methods for Measuring the Value of Open Data","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Open data; Computer science; Key (lock); Measure (data warehouse); Data science; Data quality; Quality (philosophy); Open source; Knowledge management; World Wide Web; Data mining; Engineering; Software; Operations management; Computer security; Metric (unit)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08041298,0.00007744776,0.0002942163,0.00009059844,0.0004548857,0.0003018768,0.01893046,0.00002436675,0.0000457173],"category_scores_gemma":[0.01328273,0.00002684917,0.00007368773,0.0002362785,0.0001962451,0.002413441,0.006909979,0.0002658816,0.00001166823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002192432,"about_ca_system_score_gemma":0.00009757075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008404275,"about_ca_topic_score_gemma":0.000041856,"domain_scores_codex":[0.9937062,0.00366729,0.001626527,0.00001480904,0.0008349512,0.0001502786],"domain_scores_gemma":[0.9759389,0.01841446,0.001872452,0.003159744,0.0005641405,0.00005032167],"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":[0.0003294932,0.0001592083,0.00006160804,0.00005395592,0.000283169,5.169614e-8,0.09007178,0.0003417117,0.0001714592,0.02590206,0.1515738,0.7310517],"study_design_scores_gemma":[0.001104538,0.0001495487,0.0008530351,0.000134304,0.0001469115,0.00001778577,0.2177025,0.00150707,0.001266248,0.0972589,0.6797711,0.00008803212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03478066,0.00008916568,0.9494325,0.01084326,0.0003320871,0.0004604736,0.0001619624,0.000004206329,0.003895685],"genre_scores_gemma":[0.8113946,0.0005919851,0.1824139,0.004331606,0.0001058761,0.000003874912,0.00001459729,0.00001722995,0.001126256],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.776614,"threshold_uncertainty_score":0.9950288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6407874768984645,"score_gpt":0.5418677551865244,"score_spread":0.09891972171194008,"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."}}