{"id":"W7074657038","doi":"","title":"One Quarter of the Nation: Immigration and the Transformation of America","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Quarter (Canadian coin); Transformation (genetics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001133567,0.00004745513,0.0001155745,0.0007828659,0.0001230231,0.000003122345,0.00009092564,0.00001870826,0.00001607873],"category_scores_gemma":[0.00004591581,0.00003358876,0.00006065393,0.001943971,0.0001207373,0.00008136268,0.0000538241,0.000109901,2.941962e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003827128,"about_ca_system_score_gemma":0.00009416673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597578,"about_ca_topic_score_gemma":0.0004951694,"domain_scores_codex":[0.9994444,0.0001148255,0.0001043196,0.00007128299,0.0002054819,0.00005973408],"domain_scores_gemma":[0.9995634,0.0001188592,0.0001061885,0.0001374436,0.00006013574,0.00001398017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01605139,0.002742864,0.01820159,0.001194625,0.001269719,0.00003661971,0.3463583,0.001447345,0.001024638,0.1215543,0.00208853,0.48803],"study_design_scores_gemma":[0.009304841,0.001015344,0.01037099,0.0001235295,0.0006610674,0.00002800725,0.01636466,0.009142418,0.004437731,0.00001720873,0.9483543,0.0001799274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6154229,0.00001764232,0.006735874,0.009943754,0.0001568573,0.001814267,0.0001353565,0.00006570572,0.3657076],"genre_scores_gemma":[0.9963953,0.0032945,0.0001539616,0.0001121172,0.00001198804,0.000002257168,0.00001807543,0.00000318902,0.000008552265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9462658,"threshold_uncertainty_score":0.9905769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433432614160153,"score_gpt":0.2087344257213565,"score_spread":0.194400099579755,"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."}}