{"id":"W2461844233","doi":"10.4018/ijepr.2016070101","title":"Reflecting on the Success of Open Data","year":2016,"lang":"en","type":"article","venue":"International Journal of E-Planning Research","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Open data; Open government; Outreach; Government (linguistics); Work (physics); Business; Private sector; Knowledge management; Tracking (education); Public relations; Data management; Computer science; Political science; Engineering; World Wide Web; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.1917949,0.0004529281,0.0005584762,0.00491299,0.01807826,0.03065166,0.002931593,0.003196522,0.003081487],"category_scores_gemma":[0.3148017,0.0006317523,0.0005913881,0.007683014,0.02559824,0.0194372,0.02168593,0.006825458,0.0006467039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03822041,"about_ca_system_score_gemma":0.04690892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1425681,"about_ca_topic_score_gemma":0.1443536,"domain_scores_codex":[0.7423198,0.1471128,0.007566885,0.007324554,0.07790564,0.01777026],"domain_scores_gemma":[0.5077236,0.2741123,0.02541997,0.03999823,0.1190462,0.03369956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002061249,0.0001927574,0.1347965,0.0007153635,0.0001468134,0.0008623082,0.4617469,0.001139385,0.002639466,0.1832747,0.02913507,0.1851447],"study_design_scores_gemma":[0.00003487275,0.0002334096,0.03906332,0.001255615,0.00006542209,0.0003119989,0.4923309,0.001822041,0.002644251,0.03089463,0.4311329,0.0002105458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6441901,0.001990741,0.02140069,0.09483854,0.0005595154,0.0005911639,0.0003803792,0.0002753871,0.2357736],"genre_scores_gemma":[0.9860907,0.0004534078,0.004491845,0.002053893,0.00009543581,0.0001176382,0.0000930703,0.0001566366,0.006447317],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9970684,"threshold_uncertainty_score":0.9966608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6755799551779705,"score_gpt":0.6513167614515432,"score_spread":0.02426319372642738,"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."}}