{"id":"W4416202488","doi":"10.1016/j.jclinepi.2025.112048","title":"Dysinclusion: naming and defining the inequitable absence of marginalized populations in health research","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Ontario Clinical Oncology Group; Centre for Addiction and Mental Health; Toronto Public Health; St Joseph's Health Centre; Brock University","funders":"Department of Family and Community Medicine, University of Toronto","keywords":"Intersection (aeronautics); Research ethics; Health equity; Identity (music); Face (sociological concept); Public health; Race (biology); Term (time); Economic Justice","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2436602,0.001480614,0.002335906,0.008045056,0.01146693,0.01419042,0.006665527,0.008476186,0.001893397],"category_scores_gemma":[0.3426568,0.001481765,0.002134537,0.006292853,0.1810379,0.03249032,0.03591454,0.01256286,0.0004259402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033374,"about_ca_system_score_gemma":0.01522816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687786,"about_ca_topic_score_gemma":0.002683247,"domain_scores_codex":[0.644921,0.2962965,0.02078308,0.01283776,0.02171731,0.003444399],"domain_scores_gemma":[0.5572066,0.332323,0.0384083,0.04777577,0.02027562,0.00401072],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005857768,0.00002349365,0.003926987,0.000645444,0.00004350152,0.0003140797,0.08933187,0.000309852,0.0005194764,0.8821372,0.001737908,0.02095162],"study_design_scores_gemma":[0.0000323706,0.00006439136,0.001648839,0.001646301,0.00006368737,0.001041747,0.01607418,0.001130741,0.0009583499,0.9369426,0.04030591,0.00009091139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07197919,0.01455992,0.716109,0.1447918,0.002968966,0.001011271,0.0001781018,0.0003401964,0.04806147],"genre_scores_gemma":[0.8245654,0.003471879,0.1466296,0.01893849,0.00123665,0.002710586,0.0001080107,0.0002079523,0.00213148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7563398,"threshold_uncertainty_score":0.9327016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6285492534174396,"score_gpt":0.6622184640385838,"score_spread":0.03366921062114414,"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."}}