{"id":"W4402391020","doi":"10.23889/ijpds.v9i5.2856","title":"Co-Creating an Inclusion, Diversity, Equity, and Accessibility Strategy: Defining approach and outcomes in a health data research network","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health","funders":"","keywords":"Equity (law); Inclusion (mineral); Diversity (politics); Health equity; Business; Data science; Computer science; Knowledge management; Psychology; Sociology; Economic growth; Health care; Political science; Economics; Social psychology","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":[0.2475159,0.0008338363,0.0007859134,0.004074944,0.03294951,0.03988195,0.006097781,0.006788797,0.004209915],"category_scores_gemma":[0.1318885,0.001061692,0.0009226984,0.004394434,0.03547272,0.02225785,0.04848786,0.009942083,0.001130313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07436875,"about_ca_system_score_gemma":0.2772034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09320822,"about_ca_topic_score_gemma":0.1689805,"domain_scores_codex":[0.6664798,0.2752316,0.008169872,0.008412644,0.02651404,0.01519198],"domain_scores_gemma":[0.7750642,0.08082991,0.009159867,0.01433334,0.04785106,0.0727617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001080795,0.0007909609,0.02766379,0.001906989,0.00007189513,0.001335153,0.425877,0.001689124,0.001788671,0.3497458,0.04248413,0.1465385],"study_design_scores_gemma":[0.00008399948,0.000312009,0.009329092,0.003379049,0.00006790079,0.0006611684,0.5012281,0.002394547,0.00242379,0.1196288,0.3602848,0.0002066515],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1837801,0.00393633,0.2284294,0.3830491,0.001825746,0.01329008,0.0006365808,0.0005457972,0.1845069],"genre_scores_gemma":[0.6965336,0.001573569,0.2640404,0.01437818,0.0001696582,0.007108382,0.0004100455,0.0002926648,0.01549358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939022,"threshold_uncertainty_score":0.9279468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3759531843871176,"score_gpt":0.5339225214879914,"score_spread":0.1579693371008737,"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."}}