{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006269084,0.0005431011,0.0005477577,0.001052236,0.0003068482,0.0001396728,0.0009208911,0.0002837926,0.0007990075],"category_scores_gemma":[0.0001836903,0.0008361858,0.000463793,0.0008445662,0.0001181356,0.0007745517,0.0001225403,0.0005757223,0.0000118209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453709,"about_ca_system_score_gemma":0.001136614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385797,"about_ca_topic_score_gemma":0.0001266137,"domain_scores_codex":[0.9970562,0.0002020903,0.0004959034,0.000696486,0.0006982363,0.000851114],"domain_scores_gemma":[0.99819,0.0004417123,0.0002439824,0.0005415757,0.0001220147,0.0004607346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02491631,0.00442755,0.05612397,0.01305668,0.007660338,0.007402932,0.09281101,0.08254053,0.4274143,0.06981651,0.03938965,0.1744402],"study_design_scores_gemma":[0.02401921,0.003277278,0.5902593,0.001460864,0.004412204,0.0002088539,0.1185388,0.06283031,0.01339697,0.07869948,0.0941412,0.008755618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835308,0.00271459,0.001719043,0.00009450697,0.0002130045,0.001139027,0.0005727335,0.0002169328,0.009799366],"genre_scores_gemma":[0.9834082,0.0002303915,0.0005935224,0.00001709892,0.00003064232,0.00003594634,0.003008185,0.0001332073,0.01254287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5341353,"threshold_uncertainty_score":0.9994089,"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."}}