{"id":"W2068354137","doi":"10.1046/j.1537-2995.2002.00077.x","title":"<i>Trypanosoma cruzi</i> in Los Angeles and Miami blood donors: impact of evolving donor demographics on seroprevalence and implications for transfusion transmission","year":2002,"lang":"en","type":"article","venue":"Transfusion","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Miami; Seroprevalence; Chagas disease; Trypanosoma cruzi; Medicine; Demography; Blood transfusion; Incidence (geometry); Demographics; Public health; Transmission (telecommunications); Immunology; Gerontology; Antibody; Serology","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":[0.000685474,0.0001674005,0.0001171489,0.0006629015,0.0005418029,0.0007269128,0.0002761492,0.0002462556,0.001543699],"category_scores_gemma":[0.001812896,0.0001607633,0.0001181601,0.0005728539,0.0003199129,0.000442237,0.0004866711,0.000273294,0.0001630786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008625404,"about_ca_system_score_gemma":0.0004266768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05711122,"about_ca_topic_score_gemma":0.07987899,"domain_scores_codex":[0.9996141,0.0001403123,0.00003261243,0.00005582461,0.00005080155,0.0001063505],"domain_scores_gemma":[0.9988983,0.0001159856,0.0004842645,0.00003561877,0.0001467032,0.0003190732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004615752,0.00001963259,0.9986994,0.000003618627,0.00000770596,0.00005477203,0.0002063368,0.000007928965,0.00007443442,0.000008115957,0.0001222576,0.0007495904],"study_design_scores_gemma":[0.000003871864,0.00005624889,0.9981692,0.000009867804,0.00001058513,0.0001881607,0.001185774,0.00008952667,0.00004756295,0.000006686499,0.0002297402,0.000002824451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995334,0.0001175062,0.00001001429,0.00007390127,0.000001896746,0.000003019353,0.00007976425,8.845725e-7,0.000179641],"genre_scores_gemma":[0.9995695,0.0001137224,0.00002290354,0.00004682734,0.000005692634,0.000005112664,0.0001226474,6.432769e-7,0.0001130014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05711122,"threshold_uncertainty_score":0.1135576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303992252869324,"score_gpt":0.308320820116561,"score_spread":0.2779215948296286,"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."}}