{"id":"W3184230022","doi":"10.2139/ssrn.3882450","title":"A Scoping Review on Data Governance","year":2021,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Corporate governance; Political science; Data science; Business; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03911959,0.0004620675,0.002747161,0.0001677896,0.0002720171,0.0006827916,0.007543052,0.0001431998,0.0006342667],"category_scores_gemma":[0.009019099,0.0003038726,0.0006808986,0.001266189,0.00005290157,0.0006998164,0.001817916,0.003746367,0.001678997],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009856059,"about_ca_system_score_gemma":0.01229696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001288173,"about_ca_topic_score_gemma":0.0005976956,"domain_scores_codex":[0.9896455,0.001834449,0.002267189,0.00126191,0.002729033,0.002261869],"domain_scores_gemma":[0.9919696,0.001351736,0.00234155,0.004015215,0.0001764355,0.0001454371],"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":[0.000001008742,0.00003372829,3.639859e-8,0.009128161,0.0001527593,0.00002242197,0.000001881931,1.550865e-7,6.776901e-10,0.08476648,0.03565918,0.8702342],"study_design_scores_gemma":[0.00005885214,0.00004529269,3.201779e-8,0.3230349,0.0003272346,0.0003195643,0.00003295296,7.354685e-7,4.331618e-9,0.008230208,0.6677366,0.0002136933],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.140898e-9,0.9920056,0.002450292,0.001077823,0.000693531,0.0008137614,0.0001661336,0.00001733008,0.00277553],"genre_scores_gemma":[6.574344e-8,0.9907851,0.00007642961,0.001108008,0.0005030102,0.00002181566,0.0002381698,0.0000361347,0.007231249],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8700205,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4140001928615419,"score_gpt":0.539057422538472,"score_spread":0.1250572296769301,"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."}}