{"id":"W4402730662","doi":"10.1590/0102-311xen009724","title":"Psychometric evaluation of the Intersectional Discrimination Index for use in Brazil","year":2024,"lang":"en","type":"article","venue":"Cadernos de Saúde Pública","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Psychology; Confirmatory factor analysis; Metric (unit); Exploratory factor analysis; Internal consistency; Measurement invariance; Sample (material); Index (typography); Structural equation modeling; Statistics; Social psychology; Clinical psychology; Psychometrics; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002642431,0.00004414625,0.00006372794,0.0003787453,0.0001576025,0.000128363,0.0002040765,0.0000929767,0.0001518279],"category_scores_gemma":[0.002311077,0.00003541659,0.00008347891,0.001462907,0.0001540866,0.0003345274,0.00003038865,0.0001689633,0.000008958845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003835296,"about_ca_system_score_gemma":0.0004554748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002859035,"about_ca_topic_score_gemma":0.01178448,"domain_scores_codex":[0.9985243,0.0002463104,0.0001533069,0.0001474751,0.0007429639,0.0001856482],"domain_scores_gemma":[0.9993361,0.0002726442,0.00003181237,0.00008947671,0.0002319582,0.00003805678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001309375,0.000318969,0.2609144,0.0003101714,0.00008680915,6.54248e-7,0.03944844,0.0003497349,0.002264368,0.09878389,0.03644807,0.5609435],"study_design_scores_gemma":[0.0004773945,0.00003455249,0.8816686,0.0001390233,0.00004207981,0.000001271592,0.002457277,0.02186268,0.0003117511,0.02976956,0.06311784,0.0001179872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725476,0.0004289796,0.002093832,0.01037622,0.001052425,0.0008774977,0.00002072771,0.00003334639,0.01256938],"genre_scores_gemma":[0.997624,0.00004732942,0.00002197587,0.00005976027,0.0002038226,0.00008973738,0.000003891251,0.000005954497,0.001943555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6207542,"threshold_uncertainty_score":0.6576017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1584824440420806,"score_gpt":0.4596992298181237,"score_spread":0.3012167857760432,"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."}}