{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001049443,0.0002391272,0.0002284675,0.0007844932,0.01017326,0.006649946,0.0005984999,0.002144983,0.01309364],"category_scores_gemma":[0.002270146,0.0001304406,0.0001999338,0.001363344,0.004155847,0.004640929,0.005120325,0.004188522,0.0006635936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003722292,"about_ca_system_score_gemma":0.01090283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07343236,"about_ca_topic_score_gemma":0.1564162,"domain_scores_codex":[0.9989865,0.0003447603,0.00001893305,0.00005392026,0.00009446403,0.0005013759],"domain_scores_gemma":[0.9988601,0.0001892155,0.0001003779,0.00006006706,0.0001387348,0.0006514671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001690328,0.0001709608,0.03157124,0.0001784325,0.00002422524,0.001418722,0.1528358,0.0001416232,0.000907295,0.3302438,0.3183796,0.1639593],"study_design_scores_gemma":[0.00001137466,0.00004338022,0.02817149,0.0004421127,0.0000162077,0.000351322,0.2431532,0.00009290162,0.0003128459,0.01760746,0.7097723,0.00002537325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2703902,0.02762188,0.0002886401,0.410898,0.004523831,0.0000204548,0.0003058505,0.00005240169,0.2858988],"genre_scores_gemma":[0.894447,0.0119135,0.0003604163,0.0330811,0.0009084001,0.00004561452,0.0001596738,0.00006601637,0.05901822],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07343236,"threshold_uncertainty_score":0.1460099,"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."}}