{"id":"W2077651608","doi":"10.4178/epih/e2012007","title":"A Population Health Surveillance Theory","year":2012,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique; Université de Montréal","funders":"","keywords":"Population health; Population; Public health; Medicine; Public health surveillance; Process (computing); Audit; Environmental health; Computer science; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01029069,0.0001195111,0.000486719,0.00001237048,0.0004045203,0.000002892851,0.00007777175,0.00008691775,0.0002243003],"category_scores_gemma":[0.0003852739,0.0000474833,0.00005699713,0.00009724616,0.00007147218,0.00008944586,0.00005190769,0.0001261255,0.00004564124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003608113,"about_ca_system_score_gemma":0.000007377378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819486,"about_ca_topic_score_gemma":0.0006940298,"domain_scores_codex":[0.9965159,0.002026873,0.0004307907,0.0002415833,0.00003758543,0.000747241],"domain_scores_gemma":[0.9981319,0.001189438,0.0002538717,0.0000482723,0.000009023685,0.0003675461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002121507,0.00002483116,0.8073686,0.00001526324,0.000006485543,6.174083e-8,0.00003578745,6.261237e-7,0.000003203139,0.1165838,0.01195648,0.06398368],"study_design_scores_gemma":[0.0000526113,0.0001768834,0.9507291,0.00000729365,0.000001497071,0.000002952731,0.0000751081,0.00002982585,4.685424e-8,0.01874441,0.03009934,0.00008094429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360184,0.03039147,0.0002729369,0.1315983,0.0002847149,0.0003732287,0.00002240929,0.0001477401,0.0008907369],"genre_scores_gemma":[0.9512921,0.002046803,0.0002519431,0.04561833,0.0004522267,0.00001225338,0.0001827788,8.08142e-7,0.0001427568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1433605,"threshold_uncertainty_score":0.3566569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1262291827827154,"score_gpt":0.3678803587955075,"score_spread":0.2416511760127921,"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."}}