{"id":"W4206563739","doi":"10.2196/36630","title":"Evaluation of the Dengue Surveillance System in Islamabad (2019)","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":"Representativeness heuristic; Dengue fever; Flexibility (engineering); Public health surveillance; Quality (philosophy); Business; Environmental health; Disease surveillance; Population; Public health; Data collection; Operations management; Medicine; Statistics; Engineering; Nursing","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":[0.01158754,0.0004952392,0.0002810088,0.00106097,0.0007099467,0.001206005,0.0005240096,0.0003847721,0.00183046],"category_scores_gemma":[0.0140887,0.0002050835,0.0004472604,0.0007796405,0.0004003835,0.001106592,0.001066961,0.0003038012,0.0003740514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003904077,"about_ca_system_score_gemma":0.002798825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02601978,"about_ca_topic_score_gemma":0.01755578,"domain_scores_codex":[0.9934368,0.003527096,0.0008183566,0.0003967907,0.001182109,0.0006388722],"domain_scores_gemma":[0.9898096,0.002852794,0.001221087,0.0003613568,0.004827775,0.0009273758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004501579,0.001504145,0.8018416,0.0009946844,0.0002200874,0.0008212477,0.005804101,0.006257201,0.006704302,0.0008942846,0.0067101,0.1637467],"study_design_scores_gemma":[0.0003883727,0.008837813,0.9445787,0.0002371954,0.0001675368,0.0004961342,0.01292899,0.01683211,0.006701199,0.0002276466,0.00851358,0.00009071154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902673,0.00008161788,0.001281714,0.0005526649,0.00005459889,0.001189902,0.0023892,0.0001037611,0.004079093],"genre_scores_gemma":[0.9942477,0.00007718832,0.002980067,0.00008375382,0.00001732673,0.0003040323,0.00191984,0.000004316347,0.0003659326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02601978,"threshold_uncertainty_score":0.0612815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129790803764856,"score_gpt":0.2758952519190927,"score_spread":0.2545973438814441,"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."}}