{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003128845,0.0005281959,0.0003321324,0.0008434436,0.0001512681,0.0003243663,0.0001466182,0.0003772238,0.0005729303],"category_scores_gemma":[0.0002113908,0.0001639016,0.0002721048,0.0003283341,0.0001716408,0.0002777273,0.0002340133,0.0003745381,0.0002044829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568621,"about_ca_system_score_gemma":0.0001068889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018544,"about_ca_topic_score_gemma":0.0001954603,"domain_scores_codex":[0.9998661,0.00001683442,0.00001450009,0.00003812843,0.0000376227,0.00002665021],"domain_scores_gemma":[0.9997916,0.00002933022,0.00008676991,0.000009039872,0.00004215668,0.00004115621],"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":[0.0003687752,0.00003697527,0.006051523,0.00006558921,0.00001773741,0.00003656848,0.00001496234,0.00004818614,0.9913005,0.0000159596,0.00003337145,0.002009871],"study_design_scores_gemma":[0.00005084783,0.00193627,0.1409155,0.00002932794,0.0001971549,0.001025421,0.00009118518,0.004026195,0.8503368,0.0001688423,0.001199889,0.00002241658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944884,0.00103599,0.003505058,0.00006631249,0.00001278241,0.00003998878,0.0004864955,0.00007187567,0.0002930513],"genre_scores_gemma":[0.9825659,0.001008626,0.01432077,0.0001130488,0.00001930894,0.000104519,0.00124699,0.00002143559,0.0005993784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008434436,"threshold_uncertainty_score":0.001916587,"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."}}