{"id":"W7104623687","doi":"10.7868/s3034557x25040038","title":"Latino political representation in the U.S. Congress in the 19th and 20th centuries","year":2025,"lang":"en","type":"article","venue":"Латинская Америка / Latinskaia Amerika","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Politics; White (mutation); Population; Quarter (Canadian coin); Late 19th century","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001356931,0.0001036242,0.0001927616,0.001711128,0.003307719,0.003596289,0.00024655,0.0004995386,0.003852374],"category_scores_gemma":[0.00223686,0.00009238201,0.0001187697,0.002706821,0.002879891,0.001030827,0.001979712,0.0008058878,0.000393395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003629075,"about_ca_system_score_gemma":0.001415449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164553,"about_ca_topic_score_gemma":0.04271493,"domain_scores_codex":[0.9985844,0.0005272228,0.00004378521,0.0001253878,0.0001960854,0.0005231569],"domain_scores_gemma":[0.9993117,0.0001835916,0.000165693,0.00004606309,0.0001390082,0.0001539122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003112528,0.0001432774,0.113009,0.0001261026,0.00003090183,0.0007151954,0.3593503,0.0004836453,0.00249536,0.4089442,0.00638414,0.1080065],"study_design_scores_gemma":[0.00002345591,0.000134053,0.4949203,0.0003108828,0.000020291,0.0003708077,0.1038481,0.000412584,0.001216265,0.01153377,0.3871583,0.00005114265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798752,0.001792935,0.0001811946,0.002098702,0.00006906298,0.00001218018,0.00009878654,0.000008804008,0.1158632],"genre_scores_gemma":[0.9886041,0.0004701119,0.00007001438,0.000131194,0.00003316386,0.000006899379,0.00004760322,0.000007193292,0.01062974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02164553,"threshold_uncertainty_score":0.04303902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788648397905334,"score_gpt":0.3928109006675308,"score_spread":0.3549244166884775,"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."}}