{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009232699,0.0007288158,0.0006436031,0.002677158,0.001460255,0.00438514,0.003376423,0.001207984,0.001664993],"category_scores_gemma":[0.01524772,0.0007037467,0.001250434,0.001858947,0.00174296,0.007565517,0.008047001,0.002416667,0.0009131217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002303508,"about_ca_system_score_gemma":0.005156626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006704237,"about_ca_topic_score_gemma":0.003901942,"domain_scores_codex":[0.9951421,0.001111503,0.0006413701,0.001086785,0.001504741,0.0005136469],"domain_scores_gemma":[0.9903667,0.001834905,0.0007840696,0.003983752,0.002099166,0.0009314294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001174815,0.001670749,0.05881406,0.001120658,0.0004463233,0.002008326,0.006604163,0.05405256,0.06812193,0.2306487,0.06726424,0.5080733],"study_design_scores_gemma":[0.0001696009,0.000368996,0.01258552,0.0003851171,0.0002219814,0.001047811,0.001348393,0.6369655,0.07042223,0.09552057,0.1806898,0.0002744434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03562678,0.0002144567,0.9097545,0.00203767,0.0001090771,0.00091654,0.0008787906,0.04247633,0.007985859],"genre_scores_gemma":[0.3645273,0.0003197092,0.6254188,0.0006015794,0.00009450089,0.0005856035,0.004744013,0.001688327,0.002020088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009232699,"threshold_uncertainty_score":0.04882777,"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."}}