{"id":"W4407225467","doi":"10.71265/d7yvsg86","title":"Designing Data Governance for Data Sharing","year":2020,"lang":"en","type":"article","venue":"Technology and Regulation","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Data governance; Data sharing; Corporate governance; Computer science; Data science; Business; Data quality; Finance; Medicine; Marketing","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.07857327,0.0005882235,0.001038338,0.002397901,0.005391803,0.01329146,0.003054024,0.004578302,0.00243446],"category_scores_gemma":[0.08697911,0.001301285,0.001613787,0.003045147,0.01564679,0.02473051,0.01393097,0.006285445,0.001086865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005146569,"about_ca_system_score_gemma":0.01518334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762184,"about_ca_topic_score_gemma":0.001912295,"domain_scores_codex":[0.9196442,0.0533694,0.00635774,0.007542238,0.009472382,0.003613991],"domain_scores_gemma":[0.9207011,0.02918896,0.006681246,0.03133392,0.009017261,0.003077489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001733107,0.00005198026,0.001699362,0.00007563804,0.00002391793,0.00009290445,0.001920453,0.006531908,0.0009052322,0.9743643,0.001634509,0.01268239],"study_design_scores_gemma":[0.00005751429,0.00007544836,0.0004918518,0.0003123253,0.00004693491,0.0002150824,0.002408881,0.03543357,0.00374915,0.8739744,0.08318051,0.00005445126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01562899,0.0002267937,0.9528064,0.01270566,0.0001599996,0.0007242393,0.00008016212,0.0003411595,0.01732653],"genre_scores_gemma":[0.4536273,0.0005700904,0.5356044,0.002230773,0.0002403074,0.001880462,0.0003835211,0.0002741829,0.005188983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.996946,"threshold_uncertainty_score":0.4155402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295169975363593,"score_gpt":0.3129406864312248,"score_spread":0.1834236888948655,"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."}}