{"id":"W2481701410","doi":"10.2495/dne-v11-n3-370-375","title":"Developing a data map for opening public sector information","year":2016,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Process (computing); Computer science; Task (project management); Automation; Key (lock); Data mapping; Data science; Knowledge management; Public sector; Process management; World Wide Web; Engineering; Database; Systems engineering; Computer security; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004941578,0.00008274476,0.0001543291,0.0004402136,0.00007014629,0.00071119,0.00188753,0.00008759832,0.0000398731],"category_scores_gemma":[0.004155585,0.00004895388,0.00004645854,0.0001203232,0.0000299924,0.005001504,0.0004346607,0.0001347396,0.00001733956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008798498,"about_ca_system_score_gemma":0.0001670137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001745203,"about_ca_topic_score_gemma":0.00002277598,"domain_scores_codex":[0.9980863,0.000077873,0.0007025967,0.0001462834,0.0008608077,0.0001260904],"domain_scores_gemma":[0.9967939,0.001199677,0.0006524355,0.0002455225,0.001043581,0.00006483059],"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":[0.0004135023,0.00003866417,0.000756357,0.00001575849,0.0003440857,0.00001548077,0.0003233016,0.00007669276,0.0002094993,0.2027435,0.06824918,0.726814],"study_design_scores_gemma":[0.001558967,0.00008893762,0.001260302,0.000141407,0.00002433272,0.0001029209,0.0005035565,0.01694744,0.00008184856,0.142709,0.8363891,0.0001922421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002794063,0.0001047856,0.9714031,0.023583,0.001647886,0.000117507,0.0002288139,0.000005887554,0.0001149087],"genre_scores_gemma":[0.8142297,0.0003227954,0.1814172,0.00299583,0.000548381,0.000004526275,0.0001344153,0.00001026348,0.0003368802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8114357,"threshold_uncertainty_score":0.6858022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1960934191969601,"score_gpt":0.4051800031778149,"score_spread":0.2090865839808548,"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."}}