{"id":"W4210605126","doi":"10.2196/36458","title":"Surveillance Evaluation for Severe Acute Respiratory Infection, Sana'a city, Yemen, 2021","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Guideline; Health surveillance; Ranking (information retrieval); Environmental health; Medical emergency; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003154795,0.0007808264,0.0003781053,0.001410947,0.0006583249,0.0007095415,0.0004493919,0.0003649797,0.002924975],"category_scores_gemma":[0.003994835,0.000212389,0.0005327414,0.00146643,0.0003356289,0.0008045312,0.001011219,0.0004799469,0.0003688459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610786,"about_ca_system_score_gemma":0.005199224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04902707,"about_ca_topic_score_gemma":0.05875645,"domain_scores_codex":[0.9988054,0.0004825466,0.0002586048,0.00006883706,0.000164025,0.0002205323],"domain_scores_gemma":[0.9982785,0.0001481954,0.0003798605,0.00002583593,0.00098416,0.0001834405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004992273,0.0002112218,0.883018,0.002949828,0.0001706214,0.0007548585,0.002050631,0.000901697,0.0009690015,0.0004226945,0.02018269,0.08786955],"study_design_scores_gemma":[0.00006454714,0.0005909843,0.9738367,0.001668144,0.0001512013,0.0003388526,0.006548282,0.001298729,0.0007645236,0.0001569445,0.01454349,0.0000375887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966019,0.01954144,0.002671238,0.009448004,0.0003896053,0.004257975,0.04656539,0.000211259,0.02031325],"genre_scores_gemma":[0.9604331,0.007481019,0.005419513,0.0009157189,0.00008806,0.004364961,0.01774622,0.00001287939,0.003538465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04902707,"threshold_uncertainty_score":0.09748346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144565420378109,"score_gpt":0.3377884334711299,"score_spread":0.2963427792673488,"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."}}