{"id":"W2965016518","doi":"10.1111/trf.15470","title":"Prevalence of <i>Babesia</i> in Canadian blood donors: June–October 2018","year":2019,"lang":"en","type":"article","venue":"Transfusion","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; Canadian Blood Services","funders":"","keywords":"Babesia; Babesiosis; Blood donations; Medicine; Antibody; Veterinary medicine; Virology; Immunology; Blood donor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006783117,0.0003968271,0.0002179568,0.001802367,0.002503077,0.001027547,0.0009812036,0.000342666,0.002500171],"category_scores_gemma":[0.001473738,0.0002630998,0.0002734846,0.003244342,0.000669712,0.0002639382,0.0005673703,0.0004636746,0.0002947283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01675205,"about_ca_system_score_gemma":0.01358131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893281,"about_ca_topic_score_gemma":0.9919743,"domain_scores_codex":[0.9992918,0.00002605269,0.00003321558,0.0000959372,0.0003257107,0.0002272953],"domain_scores_gemma":[0.9984826,0.0000388724,0.0002672432,0.00003142967,0.0008340673,0.0003458136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007801336,0.00002207938,0.9884732,0.00005766476,0.00002535715,0.0001940176,0.001138849,0.00003308798,0.0004798672,0.0001034414,0.003626599,0.005767709],"study_design_scores_gemma":[0.00000396306,0.00002089347,0.9947854,0.00004655928,0.0000184081,0.0004301911,0.001571186,0.00009653685,0.0001544464,0.00001194033,0.002850968,0.000009576335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856667,0.001414716,0.0001200844,0.0004951825,0.00003340442,0.0000556167,0.005554114,0.00002539867,0.006634738],"genre_scores_gemma":[0.9960356,0.001073778,0.0002131468,0.0001491604,0.00001161052,0.00000941106,0.001568372,0.000005567761,0.0009333207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01675205,"threshold_uncertainty_score":0.1215452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005235370659250849,"score_gpt":0.2053209675334263,"score_spread":0.2000855968741755,"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."}}