{"id":"W2345348408","doi":"10.1371/journal.pone.0154465","title":"Identification of Candidate Serum Biomarkers for Schistosoma mansoni Infected Mice Using Multiple Proteomic Platforms","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"McGill University Health Centre; Public Health Agency; Public Health Agency of Canada; McGill University","keywords":"Schistosoma mansoni; Biology; Western blot; Schistosomiasis; Parasite hosting; Proteome; Chronic infection; Proteomics; Two-dimensional gel electrophoresis; Biomarker; Immunology; Difference gel electrophoresis; Molecular biology; Immune system; Helminths; Bioinformatics; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008257724,0.00009299509,0.0001750826,0.0001177479,0.0001346691,0.000006477087,0.00009837477,0.0001129738,0.0001116215],"category_scores_gemma":[0.0001485427,0.00006986713,0.00005938011,0.00007154078,0.00008225287,0.0001599933,0.00002213241,0.00005710079,0.0001169584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006542871,"about_ca_system_score_gemma":0.0000384236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002211354,"about_ca_topic_score_gemma":0.0001150046,"domain_scores_codex":[0.999311,0.00001909163,0.0002846657,0.0001716914,0.00002382954,0.0001897177],"domain_scores_gemma":[0.9993597,0.0001092197,0.000222106,0.0001793345,0.0001158374,0.00001383842],"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":[0.0002864605,0.0003616211,0.0368188,0.00004777457,0.0005358102,1.521817e-7,0.00007333261,6.265269e-7,0.9613097,0.00006168625,0.00006179766,0.0004422827],"study_design_scores_gemma":[0.001325899,0.00008336679,0.02379036,0.0001713453,0.0001322184,0.000006136715,0.00002033092,0.0001953081,0.9739287,0.0000855158,0.000156093,0.0001046891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996594,0.0001093679,0.001917475,0.0001137391,0.000142561,0.0006114626,0.0004418583,0.00004194324,0.00002766307],"genre_scores_gemma":[0.9980124,0.00002309153,0.0006059165,0.00001126133,0.00001558153,0.00006950304,0.00006297763,0.00001389514,0.001185356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302843,"threshold_uncertainty_score":0.2849099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347537315529417,"score_gpt":0.2656615794106285,"score_spread":0.2309078478576868,"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."}}