{"id":"W4386499040","doi":"10.1117/12.2692210","title":"Analysis on the development and application of disease surveillance","year":2023,"lang":"en","type":"article","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Disease surveillance; Disease; Globe; Population; Outbreak; Computer science; Disease monitoring; Data science; Risk analysis (engineering); Computer security; Environmental health; Medicine; Pathology","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":[0.02035999,0.0006428852,0.0004098948,0.007832991,0.0009604805,0.004890487,0.001303898,0.0008691807,0.002608336],"category_scores_gemma":[0.06166358,0.0004953414,0.0008227258,0.006139273,0.001791463,0.003402576,0.001747599,0.001467312,0.0006776588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00637123,"about_ca_system_score_gemma":0.006178392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100807,"about_ca_topic_score_gemma":0.003846079,"domain_scores_codex":[0.9826785,0.0091597,0.001154884,0.001237055,0.005217985,0.0005519362],"domain_scores_gemma":[0.9247106,0.03791548,0.003597015,0.004848321,0.02786558,0.001063096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001357776,0.0001746305,0.09702278,0.001154623,0.0001605891,0.0004236467,0.001897341,0.0150869,0.001671185,0.4128831,0.009370197,0.4600192],"study_design_scores_gemma":[0.00004378573,0.0005332927,0.1216358,0.002898353,0.0002898336,0.001282566,0.003934743,0.1291954,0.01224548,0.1600737,0.5676984,0.000168609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1545729,0.03295829,0.4843336,0.03747912,0.001539321,0.0020799,0.003914978,0.0007695438,0.2823523],"genre_scores_gemma":[0.7796225,0.01833213,0.1820817,0.001940339,0.0005451106,0.0005761783,0.002432081,0.0001294309,0.01434057],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02035999,"threshold_uncertainty_score":0.1076752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585531313015349,"score_gpt":0.2798012553158668,"score_spread":0.2639459421857133,"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."}}