{"id":"W4367554886","doi":"10.1093/sf/soad060","title":"Racialization and Reproduction: Asian Immigrants and California’s Twentieth-Century Eugenic Sterilization Program","year":2023,"lang":"en","type":"article","venue":"Social Forces","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; University of Oxford; York University; University of Michigan; University of Miami","keywords":"Eugenics; Sterilization (economics); Immigration; Demography; Foreign born; Population; Sociology; Political science; Law; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007155184,0.00007714979,0.00006994797,0.0005397304,0.0007142639,0.0006789335,0.0003602766,0.0001696803,0.001858338],"category_scores_gemma":[0.0021066,0.00008089332,0.0001821239,0.0006928424,0.0006053676,0.0002736507,0.0006334737,0.000466006,0.00005664435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057603,"about_ca_system_score_gemma":0.0014361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2026394,"about_ca_topic_score_gemma":0.2806072,"domain_scores_codex":[0.9997111,0.0001093883,0.00001495197,0.0000433331,0.00004201483,0.00007913729],"domain_scores_gemma":[0.9982871,0.0002856227,0.0008219786,0.00006769063,0.0001568417,0.0003807591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002511429,0.00003881333,0.9931079,0.00000730699,0.00001727188,0.00003206009,0.001247917,0.0001059998,0.00003972307,0.0003095104,0.0003098912,0.004758294],"study_design_scores_gemma":[0.000002284171,0.00002404105,0.996322,0.00002461516,0.00001171538,0.00002899528,0.002653485,0.0001492852,0.00004254469,0.00004152171,0.0006965335,0.00000290055],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982569,0.000181492,0.00002959016,0.0002304419,0.000003571334,0.000002400066,0.00007953136,0.000001479045,0.001214617],"genre_scores_gemma":[0.9994417,0.000171106,0.00002538154,0.00002952375,0.000005671841,0.000001959841,0.00007409136,5.961446e-7,0.0002499444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2026394,"threshold_uncertainty_score":0.4029198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332806942201348,"score_gpt":0.3035952070979244,"score_spread":0.2602671376759109,"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."}}