{"id":"W4307170568","doi":"10.1016/j.tree.2022.09.011","title":"Recommendations for making editorial boards diverse and inclusive","year":2022,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Simon Fraser University; University of British Columbia","funders":"","keywords":"Audience measurement; Diversity (politics); Inclusion (mineral); Equity (law); Key (lock); Political science; Ecology; Public relations; Sociology; Biology; Social science; Law","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01109845,0.00007867285,0.000182743,0.0349512,0.0009055156,0.0001706577,0.0006534781,0.00009208862,0.0008062462],"category_scores_gemma":[0.007701488,0.00007339586,0.00006454244,0.04827577,0.0001074869,0.0002957228,0.001432304,0.0002818208,0.00001309113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008262895,"about_ca_system_score_gemma":0.0001321349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007490905,"about_ca_topic_score_gemma":0.0004263599,"domain_scores_codex":[0.9965832,0.0003539376,0.000401592,0.0004898761,0.00177861,0.0003927519],"domain_scores_gemma":[0.9963213,0.002657105,0.0001804198,0.0002295461,0.0005332857,0.00007840628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001086854,0.000182031,0.3144203,0.000001097645,0.000009682626,0.000002564358,0.0002990442,0.0004144199,0.00004920101,0.004625408,0.5354272,0.1444604],"study_design_scores_gemma":[0.00168413,0.0006253075,0.5392933,0.000001338995,0.000009579956,0.000007802684,0.002814461,0.01783062,0.000004781215,0.04657688,0.3909915,0.0001602019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795631,0.0003281875,0.004277888,0.02185311,0.08876267,0.0006061805,0.0005927808,0.00005645114,0.003959632],"genre_scores_gemma":[0.9962745,0.00001250752,0.0009758642,0.00007563225,0.001551262,0.0001290347,0.00002874202,0.000005132216,0.0009473057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2248731,"threshold_uncertainty_score":0.9759868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4006596374313827,"score_gpt":0.5721685505213855,"score_spread":0.1715089130900028,"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."}}