{"id":"W4415146380","doi":"10.2139/ssrn.5505418","title":"EU AI Act: Advancing Data Governance","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Data governance; Safeguarding; European union; Corporate governance; Information governance; Function (biology); Data Protection Act 1998; Data security","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":[],"consensus_categories":[],"category_scores_codex":[0.003071288,0.0001984436,0.0002570812,0.00007947659,0.0007213401,0.0004322659,0.001537842,0.0002754012,0.00005041547],"category_scores_gemma":[0.0005020377,0.0001954969,0.000112734,0.000264415,0.0001363335,0.000907566,0.000509651,0.0007179225,0.000002529711],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243998,"about_ca_system_score_gemma":0.01923646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005326572,"about_ca_topic_score_gemma":0.1079859,"domain_scores_codex":[0.9964679,0.0001871371,0.0003883693,0.0004338564,0.0006801208,0.001842646],"domain_scores_gemma":[0.9985613,0.00006473566,0.0004738512,0.0005576955,0.0002401213,0.0001022519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001430172,0.00004636762,0.001481858,0.000029724,0.0001457906,0.000001666129,0.0008798375,0.001156686,0.00000229428,0.9191846,0.01485142,0.06220546],"study_design_scores_gemma":[0.0001655004,0.00001327887,0.0001455026,0.0001980872,0.00005646601,0.000007921403,0.0009054003,0.0004364923,0.000003342288,0.3910706,0.6067771,0.0002202943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01107641,0.03534425,0.2050766,0.05075319,0.0139792,0.001664063,0.0004429916,0.000554244,0.6811091],"genre_scores_gemma":[0.7009009,0.1187106,0.0004877529,0.0009376392,0.005649616,0.0000123783,0.0005404939,0.0000615878,0.1726991],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6898244,"threshold_uncertainty_score":0.9863235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493839407774725,"score_gpt":0.3257980841273415,"score_spread":0.3108596900495942,"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."}}