{"id":"W4408017039","doi":"10.1126/science.adq4733","title":"Protect US racial affinity groups","year":2025,"lang":"en","type":"letter","venue":"Science","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Brock University; University of British Columbia","funders":"","keywords":"Computational biology; Chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01469136,0.00117186,0.001379888,0.001282362,0.02879333,0.009262809,0.003073765,0.09246404,0.01793096],"category_scores_gemma":[0.03824808,0.001214105,0.001184686,0.001275756,0.007567354,0.006595106,0.008597698,0.04556564,0.01063256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008406671,"about_ca_system_score_gemma":0.03783959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03955245,"about_ca_topic_score_gemma":0.05304353,"domain_scores_codex":[0.984901,0.004464587,0.0009575697,0.002050262,0.003758377,0.003868131],"domain_scores_gemma":[0.977225,0.01153108,0.001024204,0.001668538,0.004467649,0.00408343],"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":[0.00005331562,0.0001688033,0.00143453,0.00007989012,0.00001109188,0.001043722,0.002473787,0.00004361582,0.0007722872,0.03724007,0.9351457,0.02153323],"study_design_scores_gemma":[0.00002956015,0.00005260805,0.001121254,0.0002960294,0.00001271716,0.0003050715,0.001979843,0.0001347246,0.0003942909,0.008636841,0.9870062,0.00003089363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002941156,0.001966148,0.0004076521,0.9369698,0.009001881,0.0001164189,0.000184166,0.00009410916,0.04831867],"genre_scores_gemma":[0.009472396,0.0004702618,0.0004680711,0.9551508,0.002043196,0.0001963658,0.00004370505,0.00003337116,0.03212185],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09246404,"threshold_uncertainty_score":0.07864445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526050222957167,"score_gpt":0.394319017414754,"score_spread":0.3490585151851823,"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."}}