{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002925288,0.0004281868,0.0003555671,0.0007344483,0.000136507,0.0004020195,0.0001519073,0.0004667864,0.0008267373],"category_scores_gemma":[0.0002765729,0.000199784,0.0002547379,0.0004122248,0.0001233251,0.0002013944,0.0001654575,0.0004580751,0.0002468527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847167,"about_ca_system_score_gemma":0.0001366255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003398478,"about_ca_topic_score_gemma":0.0003911391,"domain_scores_codex":[0.9998017,0.00002493425,0.00001743651,0.0000552166,0.00006278588,0.00003792973],"domain_scores_gemma":[0.9997863,0.0000272388,0.00009419741,0.000009230136,0.0000491129,0.00003391116],"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":[0.0005205506,0.0002247205,0.05463889,0.000312198,0.00006147144,0.0001094974,0.00005307252,0.000240864,0.9340493,0.00005147184,0.0002866748,0.00945127],"study_design_scores_gemma":[0.00003995396,0.003478714,0.4895934,0.00009991631,0.0002744144,0.001945322,0.0002769652,0.004258573,0.4944604,0.000234618,0.005306867,0.00003081041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917251,0.003122012,0.002987059,0.0001016846,0.00002967164,0.00007420823,0.0009577525,0.0001266963,0.000875741],"genre_scores_gemma":[0.9859464,0.002195297,0.008239633,0.0001294073,0.00002514284,0.0001181437,0.002143846,0.00001234757,0.001189745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008267373,"threshold_uncertainty_score":0.002765715,"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."}}