{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002190062,0.0003086099,0.0003930108,0.0001658669,0.0002816484,0.0001320743,0.0000923717,0.00007986127,0.0001104568],"category_scores_gemma":[0.003361561,0.0002308096,0.0002457732,0.0002695562,0.00007087922,0.0002719463,0.00007708786,0.000232672,0.00004741592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215492,"about_ca_system_score_gemma":0.0002292289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008009417,"about_ca_topic_score_gemma":0.0008326499,"domain_scores_codex":[0.9980614,0.0002595164,0.0004027684,0.000577939,0.000303061,0.0003953374],"domain_scores_gemma":[0.9964375,0.002272914,0.000174809,0.0005678156,0.0001643005,0.0003826577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007089251,0.001620812,0.9935674,0.0002588748,0.0002074395,0.00002052573,0.0002134563,0.0003717517,0.000006287397,0.00005446357,0.0006514844,0.002318552],"study_design_scores_gemma":[0.009279248,0.0008466392,0.984378,0.0001123098,0.002034338,0.00001236355,0.0001892223,0.001900386,0.000001728673,0.0005188442,0.0004815371,0.0002453483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907029,0.001217432,0.0002218407,0.0001193259,0.0004434142,0.006598543,0.0004563304,0.000181686,0.00005847581],"genre_scores_gemma":[0.9963052,0.000176412,0.000005610668,0.0004740299,0.0005197884,0.002270188,0.00008530349,0.00005163968,0.0001118544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009189392,"threshold_uncertainty_score":0.9412141,"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."}}