{"id":"W2964433918","doi":"10.1186/s12879-019-4304-9","title":"Risk prediction for severe disease and better diagnostic accuracy in early dengue infection; the Colombo dengue study","year":2019,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Colombo","keywords":"Dengue fever; Medical microbiology; Tropical medicine; Parasitology; Medicine; Sri lanka; Diagnostic accuracy; Dengue virus; Virology; Pathology; Internal medicine; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001800814,0.0005524612,0.0003019302,0.0007815787,0.0006407116,0.0008162958,0.0004276944,0.0005620635,0.001652309],"category_scores_gemma":[0.003074239,0.0002476393,0.0005129955,0.0006850587,0.0006058256,0.0004191376,0.0006961842,0.0007866222,0.0002159321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974247,"about_ca_system_score_gemma":0.0007089238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210869,"about_ca_topic_score_gemma":0.01788275,"domain_scores_codex":[0.9994652,0.0002358535,0.00003689707,0.0001217618,0.00006395044,0.00007637219],"domain_scores_gemma":[0.9980028,0.0004338178,0.0006426762,0.0002067947,0.0001746157,0.0005392261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002113999,0.0000187122,0.9987321,0.00001433706,0.00004690413,0.00007423078,0.0001305142,0.00002423193,0.0001166545,0.00002423274,0.0001604961,0.0004462342],"study_design_scores_gemma":[0.0000508842,0.0001129972,0.9987645,0.00001819437,0.00004561805,0.0001661671,0.0002041044,0.0002199322,0.00002812798,0.00003379902,0.0003467667,0.000008918382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972885,0.000539686,0.00006757553,0.0002663301,0.00001678931,0.00003101635,0.0006570923,0.000003734227,0.001129474],"genre_scores_gemma":[0.9992053,0.000109528,0.0000993864,0.00006441098,0.0000217764,0.00001750437,0.0003584184,0.000002101263,0.0001216728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0210869,"threshold_uncertainty_score":0.04192835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006808960665156215,"score_gpt":0.2532679302123196,"score_spread":0.2464589695471634,"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."}}