{"id":"W3041603820","doi":"10.1038/s41598-020-68159-z","title":"A metagenomics-based diagnostic approach for central nervous system infections in hospital acute care setting","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Sidra Medicine; Society of Interventional Radiology Foundation; BC Children's Hospital; Children's Hospital Foundation","keywords":"Metagenomics; Etiology; Meningitis; Medicine; Encephalitis; Cerebrospinal fluid; Central nervous system; Bioinformatics; Biology; Internal medicine; Immunology; Pediatrics; Gene","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":[0.003135649,0.001233055,0.0011029,0.004764108,0.000717961,0.002325168,0.001027899,0.0008757097,0.0008957905],"category_scores_gemma":[0.004286575,0.0005831959,0.001693768,0.002488925,0.0003379018,0.0009259128,0.001760512,0.0009650252,0.0003297488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420315,"about_ca_system_score_gemma":0.001821182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005333839,"about_ca_topic_score_gemma":0.01016577,"domain_scores_codex":[0.9985715,0.000605494,0.00009905075,0.0004185308,0.000207802,0.0000976116],"domain_scores_gemma":[0.9985355,0.0004973257,0.0002967432,0.0001520359,0.0003764385,0.0001420285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001329878,0.001085086,0.5687521,0.001558538,0.004575314,0.000942666,0.0009155961,0.08002,0.1696928,0.002535592,0.003345053,0.1652474],"study_design_scores_gemma":[0.00008336767,0.0008312669,0.2000208,0.0003223105,0.001695817,0.0007881971,0.001806979,0.7264791,0.04605358,0.01323354,0.008476746,0.0002082403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6383519,0.004236573,0.3374322,0.002450005,0.0001927234,0.0008873229,0.0116892,0.002026377,0.002733707],"genre_scores_gemma":[0.7256808,0.000762808,0.2667239,0.0006640832,0.00007839104,0.0003213533,0.005208456,0.0001268906,0.0004332033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005333839,"threshold_uncertainty_score":0.01658309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393067482092566,"score_gpt":0.2634107471632775,"score_spread":0.2494800723423518,"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."}}