{"id":"W4394686153","doi":"10.1017/s0007087424000359","title":"Sebastián Gil-Riaño, <i>The Remnants of Race Science: UNESCO and Economic Development in the Global South</i> New York: Columbia University Press, 2023. Pp. 392. ISBN 978-0-231-19435-8. £30.00 (paperback).","year":2024,"lang":"en","type":"article","venue":"The British Journal for the History of Science","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Race (biology); Political science; Economic history; History; Sociology; Gender studies","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.006364896,0.0001310436,0.0002273864,0.00006186413,0.004654766,0.0005819616,0.002345962,0.00002819558,0.0002494898],"category_scores_gemma":[0.000135139,0.00008539459,0.00008415269,0.0002969249,0.01641976,0.0007476887,0.0001650051,0.0003290173,0.00001000322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055492,"about_ca_system_score_gemma":0.004254095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006171664,"about_ca_topic_score_gemma":0.006506947,"domain_scores_codex":[0.9979333,0.00007542171,0.0004016208,0.000340034,0.0008012236,0.0004484117],"domain_scores_gemma":[0.9989364,0.0002103922,0.0002647088,0.0002799378,0.0001640016,0.0001446272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008371571,0.00006298655,0.0001045663,0.00008011336,0.00003043395,0.00004277796,0.1211992,0.0001249466,0.0006206943,0.01156819,0.8193863,0.04669609],"study_design_scores_gemma":[0.0003337864,0.00007943928,0.001062066,0.0003552284,0.00004351155,0.0002808853,0.01740559,0.00027616,0.00001539729,0.0003708633,0.9796542,0.0001229052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7177071,0.1724208,0.0001581564,0.007456049,0.02404441,0.001957127,0.0001984338,0.00006382003,0.07599407],"genre_scores_gemma":[0.8436087,0.003140377,0.0002486561,0.0008693523,0.0009815949,0.000008144238,0.000001081482,0.00001986263,0.1511222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692804,"threshold_uncertainty_score":0.996641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450149818130956,"score_gpt":0.2229244658053763,"score_spread":0.1884229676240667,"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."}}