{"id":"W7065873082","doi":"","title":"Extracellular vesicles as a tool for identification of new biomarkers in Chagas disease","year":2022,"lang":"en","type":"dissertation","venue":"Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chagas disease; Trypanosoma cruzi; Latin Americans; Disease; Benznidazole; Public health; Neglected tropical diseases; Tropical disease; Identification (biology)","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":[0.0009855935,0.0007746262,0.0005801241,0.001457103,0.0003924494,0.001328923,0.0005874741,0.001373957,0.004570429],"category_scores_gemma":[0.0008890734,0.0002931478,0.0005400013,0.0007529057,0.0003444988,0.001411984,0.001006614,0.001140113,0.002927572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297344,"about_ca_system_score_gemma":0.000318841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000376078,"about_ca_topic_score_gemma":0.0004149746,"domain_scores_codex":[0.9995858,0.0001081168,0.00003018785,0.00007916503,0.000149346,0.00004745055],"domain_scores_gemma":[0.9997883,0.00006596717,0.00003057127,0.00001712515,0.00007298412,0.00002504579],"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":[0.0004621955,0.0001319684,0.002132089,0.002049476,0.0001401229,0.0009513224,0.0001761757,0.0003527976,0.7932234,0.006841221,0.01266558,0.1808736],"study_design_scores_gemma":[0.0001190606,0.0009419216,0.009782935,0.000927866,0.0003761441,0.005832636,0.0004240548,0.008493009,0.6340113,0.005395402,0.3334968,0.0001987984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2124092,0.4454263,0.241197,0.00956448,0.01312373,0.001370467,0.007676974,0.003514175,0.06571765],"genre_scores_gemma":[0.4793042,0.1804624,0.2506569,0.006461201,0.002276594,0.001793866,0.006781443,0.0004848844,0.07177851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004570429,"threshold_uncertainty_score":0.0152896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006724188017572221,"score_gpt":0.2168971795458101,"score_spread":0.2101729915282379,"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."}}