{"id":"W4362470474","doi":"10.1017/s0003055423000242","title":"Diversity Matters: The Election of Asian Americans to U.S. State and Federal Legislatures","year":2023,"lang":"en","type":"article","venue":"American Political Science Review","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Asian American Studies Center, University of California Los Angeles; University of Oxford; Princeton University; Sage Foundation","keywords":"Appeal; Ethnic group; Legislature; Asian americans; Diversity (politics); Political science; State (computer science); Crossover; Representation (politics); Gender studies; Sociology; Law; Politics","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":[0.001032759,0.00006920579,0.0001790142,0.00006737756,0.001395249,0.00005350783,0.0003127849,0.000009443213,0.00001990472],"category_scores_gemma":[0.0004194397,0.00004695185,0.00004727435,0.002025265,0.003227989,0.0001165449,0.0003281016,0.00007487164,0.00003178556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000098198,"about_ca_system_score_gemma":0.000208118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04844961,"about_ca_topic_score_gemma":0.0009955619,"domain_scores_codex":[0.9981871,0.0001585057,0.0001521497,0.0002252658,0.0005643989,0.0007125766],"domain_scores_gemma":[0.9991693,0.0001044225,0.00007410513,0.0001504538,0.0001002553,0.0004013983],"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":[0.000009056497,0.00007671738,0.04519996,0.0003793404,0.00003842813,0.000006422676,0.032539,0.000007290726,0.0005300376,0.5542076,0.0219197,0.3450865],"study_design_scores_gemma":[0.0001117686,0.000261,0.8324314,0.0003758785,0.00006874896,0.000007688009,0.02313387,0.00004760428,0.0002431781,0.03215371,0.1107585,0.0004066025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3767636,0.0007980771,0.0005430674,0.5797917,0.00032183,0.001232639,0.00002538548,0.000112375,0.04041129],"genre_scores_gemma":[0.9886094,0.003241181,0.00009576494,0.007717322,0.00004483548,0.000008664191,5.305911e-7,0.000003174238,0.0002791293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7872315,"threshold_uncertainty_score":0.9999048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03858129230010217,"score_gpt":0.3813286637950657,"score_spread":0.3427473714949636,"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."}}