{"id":"W4416909477","doi":"10.2196/72029","title":"Establishing One Health Surveillance Platform for Electronic Integrated Disease Surveillance and Response in Malawi: Action Design Research Study","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Disease surveillance; Government (linguistics); Public health surveillance; Digital health; Function (biology); Key (lock); Reuse","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":[0.08313783,0.001016276,0.0008324815,0.002035041,0.005343335,0.004742181,0.002346677,0.002235193,0.005701262],"category_scores_gemma":[0.05612471,0.0006812938,0.001359357,0.001522074,0.004010461,0.003581242,0.005480837,0.003305043,0.0005992693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01500804,"about_ca_system_score_gemma":0.03940364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0089839,"about_ca_topic_score_gemma":0.01911035,"domain_scores_codex":[0.9211056,0.06635087,0.002674342,0.002060919,0.002909238,0.004898969],"domain_scores_gemma":[0.9200763,0.05064412,0.00648827,0.004026578,0.01360048,0.005164276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00463313,0.03899312,0.1333356,0.02092165,0.0008550492,0.00225211,0.2506187,0.01024734,0.005778001,0.06520995,0.009150113,0.4580052],"study_design_scores_gemma":[0.00711766,0.06943187,0.1218648,0.01916181,0.002442866,0.0007558404,0.5349093,0.01943768,0.01527154,0.03132124,0.1778506,0.0004348107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718642,0.001953552,0.03643493,0.004716976,0.0002310581,0.0699083,0.0007551765,0.0001061617,0.01402967],"genre_scores_gemma":[0.8354477,0.00124831,0.08707341,0.002455702,0.00008751325,0.07040109,0.0003026531,0.00002904642,0.002954568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08313783,"threshold_uncertainty_score":0.4396801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262088032076621,"score_gpt":0.4245859513133613,"score_spread":0.2983771481056992,"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."}}