{"id":"W4412676781","doi":"10.1002/cesm.70083","title":"PRO EDI -- a tool to help systematic reviewers make equity, diversity and inclusion assessments","year":2025,"lang":"en","type":"preprint","venue":"Cochrane Evidence Synthesis and Methods","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère","funders":"","keywords":"Inclusion (mineral); Equity (law); Diversity (politics); Business; Computer science; Data science; Psychology; Political science; Social psychology","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":["metaresearch","metaepi_narrow","sts","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05961077,0.0003801352,0.001409773,0.0004051995,0.004713193,0.0003741826,0.001827457,0.0005244049,0.00006573632],"category_scores_gemma":[0.05959828,0.0003418331,0.0001901303,0.0005521409,0.0004178506,0.0002485374,0.1102858,0.0006667502,0.000003640037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228332,"about_ca_system_score_gemma":0.0006769246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307463,"about_ca_topic_score_gemma":0.00021545,"domain_scores_codex":[0.9880196,0.007350209,0.00074609,0.001085227,0.002109547,0.0006893098],"domain_scores_gemma":[0.9870604,0.01063732,0.0003756633,0.0009476626,0.0006048943,0.0003740669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009120814,0.0001036473,0.001421729,0.1860479,0.0001806049,0.00003971405,0.01776248,0.000003656985,0.0007721424,0.00290178,0.001511955,0.7891631],"study_design_scores_gemma":[0.0003064797,0.000314261,0.003017913,0.899752,0.002765086,0.00001574121,0.008007742,0.000972142,0.004790638,0.06710918,0.01026038,0.002688469],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06331969,0.2495629,0.5323903,0.05641011,0.006529201,0.04880575,0.0002115408,0.001486837,0.04128364],"genre_scores_gemma":[0.2365357,0.1690928,0.5840735,0.001147481,0.0004998911,0.003249457,0.000002663007,0.00005311726,0.005345288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7864746,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.267765358973535,"score_gpt":0.5860162975889535,"score_spread":0.3182509386154185,"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."}}