{"id":"W2920773083","doi":"10.3389/fpubh.2019.00138","title":"Valuing Health Surveillance as an Information System: Interdisciplinary Insights","year":2019,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"World Health Organization","keywords":"Risk analysis (engineering); Health informatics; Computer science; Value of information; Information system; Knowledge management; Health care; Management science; Data science; Medicine; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02444268,0.0009931003,0.00145937,0.008439619,0.002854751,0.02157164,0.001989737,0.00612382,0.002344439],"category_scores_gemma":[0.02393329,0.0006608889,0.001053085,0.006110145,0.03118411,0.02234889,0.006599028,0.004468617,0.0002315287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01229266,"about_ca_system_score_gemma":0.004625574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195156,"about_ca_topic_score_gemma":0.001051821,"domain_scores_codex":[0.9717996,0.02116444,0.0007975273,0.00116284,0.004067362,0.001008294],"domain_scores_gemma":[0.9412248,0.05250189,0.001568679,0.001931666,0.002025279,0.0007478007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008744041,0.00002433053,0.000318224,0.0001404486,0.0000208605,0.00006494541,0.001723099,0.001959027,0.00005502822,0.9885651,0.0005282531,0.006591964],"study_design_scores_gemma":[0.00000536672,0.00001841786,0.0002706076,0.0003514955,0.00001061353,0.00005441196,0.00224331,0.004361568,0.0000877836,0.9841186,0.008461786,0.00001602795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0802057,0.07792761,0.3595901,0.2335979,0.001170504,0.0002837112,0.0003211572,0.00007656313,0.2468269],"genre_scores_gemma":[0.932227,0.02188441,0.03806267,0.003212936,0.001262643,0.0002458633,0.00007293194,0.0000478189,0.002983707],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02444268,"threshold_uncertainty_score":0.1292669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667212212143463,"score_gpt":0.3025842404789351,"score_spread":0.2859121183575004,"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."}}