{"id":"W2951648472","doi":"10.2196/10218","title":"A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Bill and Melinda Gates Foundation","keywords":"Interoperability; Dashboard; Provisioning; Data access; Domain (mathematical analysis); Malaria; Authentication (law); Epidemiological surveillance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002665999,0.000239093,0.0007681263,0.0001555466,0.000195787,0.0001516153,0.00049091,0.000118413,0.00004395717],"category_scores_gemma":[0.003340105,0.0002041671,0.00004187839,0.0004698738,0.000402727,0.0008223957,0.0006497679,0.0001943034,0.000001172013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007136845,"about_ca_system_score_gemma":0.0009854056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001276932,"about_ca_topic_score_gemma":0.0005623279,"domain_scores_codex":[0.9971613,0.000295444,0.0007668722,0.0008831611,0.0003347112,0.0005585491],"domain_scores_gemma":[0.9964153,0.0003407886,0.0004147692,0.001377949,0.0007975714,0.0006536929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004721412,0.00008870915,0.9502144,0.001521916,0.00005300672,6.973519e-7,0.0002805552,5.151072e-7,0.00003651177,0.0002207881,0.007915588,0.03919514],"study_design_scores_gemma":[0.001532579,0.0005555706,0.9167364,0.00006212712,0.000001884954,0.00001408016,0.00007846829,0.01354147,0.000002866585,0.0001510473,0.06715399,0.0001695329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767354,0.0009347507,0.004363161,0.01252602,0.0002326003,0.00261085,0.002065861,0.0001421156,0.0003892521],"genre_scores_gemma":[0.9941193,0.0002585462,0.002346597,0.001176278,0.0002538719,0.00006996319,0.001677454,0.00003008844,0.00006782952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0592384,"threshold_uncertainty_score":0.8325691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08356064972761648,"score_gpt":0.3914165651174651,"score_spread":0.3078559153898486,"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."}}