{"id":"W4286251181","doi":"10.1016/j.celrep.2022.111121","title":"Leishmania parasites exchange drug-resistance genes through extracellular vesicles","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre; McGill University Health Centre; Université de Montréal; Cegep de Saint Hyacinthe","funders":"Fonds de Recherche du Québec - Santé; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Extracellular vesicles; Drug resistance; Leishmania; Gene; Extracellular; Drug; Biology; Vesicle; Extracellular vesicle; Cell biology; Virology; Parasite hosting; Microbiology; Genetics; Microvesicles; Pharmacology; microRNA; Membrane","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001350315,0.0002161511,0.000167389,0.0001835487,0.0001339541,0.00039882,0.0001438153,0.0002621668,0.0006935671],"category_scores_gemma":[0.000176561,0.0001059635,0.000209404,0.0001026382,0.0001675118,0.000301969,0.0004050699,0.000297571,0.0003349003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669069,"about_ca_system_score_gemma":0.0001046453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002545888,"about_ca_topic_score_gemma":0.0003238632,"domain_scores_codex":[0.9998477,0.00003764117,0.000009534612,0.00003029357,0.00004041356,0.0000344564],"domain_scores_gemma":[0.9999282,0.00001549613,0.00002322975,0.00001098832,0.00001197017,0.00001010098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003175788,0.000008558595,0.000367202,0.00003297586,0.000005428234,0.00007502513,0.00003241583,0.00003872436,0.9979221,0.0002957157,0.00002717831,0.001162875],"study_design_scores_gemma":[0.00001368814,0.000180495,0.004609114,0.00001367142,0.00002183884,0.0005358774,0.0001059473,0.001005134,0.9870062,0.0001724624,0.006328102,0.000007534688],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906666,0.001377702,0.005363601,0.0001005083,0.00002002915,0.00003145215,0.0001795619,0.0000762205,0.002184223],"genre_scores_gemma":[0.9931015,0.0005669246,0.003588138,0.00005896468,0.000005177891,0.00001632293,0.0002533819,0.00002302008,0.002386604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006935671,"threshold_uncertainty_score":0.00232017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995751517685787,"score_gpt":0.2870213296767903,"score_spread":0.2570638144999325,"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."}}