{"id":"W4387957258","doi":"10.23889/ijpds.v8i4.2160","title":"Health Data Governance for Research Use in Alberta","year":2023,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; Alberta Health Services; University of Alberta; University of Calgary","funders":"","keywords":"Custodians; Data governance; General partnership; Corporate governance; Analytics; Big data; Research ethics; Business; Data sharing; Data science; Medicine; Knowledge management; Data quality; Service (business); Computer science; Data mining; Geography; Alternative medicine; Marketing; Finance","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":[0.0527776,0.0005620776,0.0006412321,0.005371442,0.006978831,0.01634542,0.005917158,0.002247116,0.01370812],"category_scores_gemma":[0.06559207,0.001020606,0.0008450248,0.01421229,0.005466796,0.0033242,0.00882286,0.002889521,0.0028055],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1152159,"about_ca_system_score_gemma":0.4118327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9009133,"about_ca_topic_score_gemma":0.9131978,"domain_scores_codex":[0.9497117,0.01327702,0.003531756,0.004032546,0.02309683,0.006350084],"domain_scores_gemma":[0.8887025,0.02115257,0.003620056,0.01846418,0.05527382,0.01278696],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002711539,0.0001174634,0.02441204,0.0006490603,0.0001078531,0.0006874937,0.00866658,0.004676897,0.001805029,0.280271,0.4280544,0.250281],"study_design_scores_gemma":[0.00008338442,0.00005207912,0.02577012,0.0007196043,0.00003659349,0.0001714716,0.003244363,0.002218807,0.0006413335,0.01641295,0.9505354,0.0001138951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0289667,0.01111665,0.09154435,0.1389874,0.00360117,0.01066046,0.03770455,0.007527296,0.6698915],"genre_scores_gemma":[0.3447823,0.01388126,0.2652343,0.04276053,0.001901468,0.007926309,0.0630089,0.002201908,0.2583031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940829,"threshold_uncertainty_score":0.8359536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9164866338083132,"score_gpt":0.7551595823879634,"score_spread":0.1613270514203498,"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."}}