{"id":"W2810869955","doi":"10.1186/s13071-018-2951-0","title":"Screening for biomarkers reflecting the progression of Babesia microti infection","year":2018,"lang":"en","type":"article","venue":"Parasites & Vectors","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fudan University; Queen's University; Queen's University Belfast; University of Wisconsin-Madison","keywords":"Babesiosis; Biology; Antigen; Babesia; Parasitology; Antibody; Recombinant DNA; Virology; Protein microarray; Immunology; Molecular biology; Microarray; Gene expression; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025706,0.0002033631,0.0002388506,0.0001547835,0.0005671956,0.00002378034,0.0001707657,0.0001763451,0.0002108572],"category_scores_gemma":[0.0004415167,0.0001470698,0.0001854261,0.0003673025,0.000436355,0.0001034408,0.00005877269,0.0001446977,0.00008219818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003367386,"about_ca_system_score_gemma":0.0000504098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004233771,"about_ca_topic_score_gemma":0.0001849616,"domain_scores_codex":[0.9986978,0.0002199031,0.0003254985,0.0003174291,0.00004543289,0.0003939149],"domain_scores_gemma":[0.9987194,0.0004807877,0.0002895291,0.0002935428,0.0001918458,0.00002491671],"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":[0.0002672711,0.00009811593,0.4774937,0.00003210514,0.0003564494,3.956852e-7,0.0002683587,0.000004313717,0.5060976,0.0001030563,0.001960582,0.01331805],"study_design_scores_gemma":[0.0007667797,0.0008614356,0.3741019,0.0001242774,0.000185262,0.00005366373,0.00007820583,0.00002962917,0.6110346,0.00008009264,0.0124566,0.0002275036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939641,0.001329901,0.002238572,0.00007065786,0.0008510824,0.0007012311,0.00001715641,0.0001695245,0.0006577122],"genre_scores_gemma":[0.9990416,0.00001430484,0.000445427,0.00006045515,0.0001529157,0.0001004787,0.00005278473,0.00003166973,0.0001004242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104937,"threshold_uncertainty_score":0.5997334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251621795463649,"score_gpt":0.3468083974318365,"score_spread":0.3142921794772,"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."}}