{"id":"W2978297484","doi":"10.2196/15235","title":"Interoperability of Surveillance Data Collection Tools (District Health Information System 2 and District Vaccine Data Management Tools) in Enugu State, Nigeria, From 2015-2018","year":2019,"lang":"en","type":"article","venue":"Iproceedings","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Interoperability; Computer science; Statistics; World Wide Web","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":[0.01713456,0.0002252563,0.0002855925,0.002161575,0.001445783,0.001575343,0.0005344488,0.0003278108,0.0005353053],"category_scores_gemma":[0.02957991,0.0003950146,0.0003410669,0.002252503,0.001147908,0.002590484,0.002923311,0.0007540054,0.00009124559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003486834,"about_ca_system_score_gemma":0.004197523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03476704,"about_ca_topic_score_gemma":0.04513853,"domain_scores_codex":[0.9918053,0.003501631,0.001205416,0.0008384209,0.001744941,0.0009043161],"domain_scores_gemma":[0.9796211,0.007399085,0.004701448,0.001368485,0.005890455,0.001019373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001959931,0.0002201291,0.903846,0.0002892549,0.00003882635,0.0004181735,0.04154412,0.0005361067,0.001056554,0.0006146989,0.0006678293,0.0505723],"study_design_scores_gemma":[0.00000825421,0.0003333152,0.9436749,0.0003030907,0.00004290304,0.0003366925,0.0462381,0.001107664,0.001494792,0.0002090043,0.006216071,0.00003531512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975531,0.000174736,0.0003576045,0.0001752073,0.000007441357,0.000099472,0.0002726524,0.00001120738,0.001348633],"genre_scores_gemma":[0.9980208,0.000125032,0.001067124,0.00005382454,0.000002651963,0.00008540195,0.0003777069,0.000005146807,0.0002624654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03476704,"threshold_uncertainty_score":0.0906173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340455167404649,"score_gpt":0.2923857232792034,"score_spread":0.2583402065387385,"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."}}