{"id":"W4412721911","doi":"10.31219/osf.io/8zur9_v2","title":"DORI Index: Measuring Diversity in Representative Institutions","year":2025,"lang":"en","type":"preprint","venue":"","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Index (typography); Diversity index; Environmental science; Political science; Computer science; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007330325,0.0005083682,0.0008732774,0.01111911,0.001291737,0.003542525,0.001223905,0.001033906,0.006511431],"category_scores_gemma":[0.04518763,0.0002341653,0.0006126293,0.01239841,0.002047763,0.004399835,0.005144975,0.001140518,0.001201453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080075,"about_ca_system_score_gemma":0.001273082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567687,"about_ca_topic_score_gemma":0.001434803,"domain_scores_codex":[0.9906816,0.003131042,0.0009392048,0.001319399,0.003341209,0.0005873639],"domain_scores_gemma":[0.9759142,0.0114036,0.006114323,0.002934008,0.002688249,0.0009455735],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002761721,0.0002260428,0.3328004,0.0007736229,0.0004479169,0.0001933369,0.01066654,0.009779003,0.00340187,0.2562945,0.02613803,0.3590026],"study_design_scores_gemma":[0.000104843,0.0004310528,0.4107254,0.0007137387,0.0002240668,0.001150986,0.01541649,0.04199593,0.007517972,0.3256584,0.1957386,0.0003226302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5033348,0.002847717,0.3035324,0.002901749,0.0002840293,0.0009164143,0.01952028,0.0009601357,0.1657024],"genre_scores_gemma":[0.9061242,0.0007529816,0.07778706,0.0002447597,0.0001832143,0.00106296,0.008431985,0.0001613835,0.005251538],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9926697,"threshold_uncertainty_score":0.03876692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907490509347047,"score_gpt":0.3908912436144489,"score_spread":0.2001421926797442,"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."}}