{"id":"W2014471619","doi":"10.1016/j.prevetmed.2012.11.001","title":"Conceptual evaluation of population health surveillance programs: Method and example","year":2012,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Public Health Agency","keywords":"Public health surveillance; Disease surveillance; Standardization; Conceptual model; Population; Public health; Computer science; Epidemiological surveillance; Risk analysis (engineering); Environmental health; Medicine; Epidemiology; 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":[0.03683852,0.001090138,0.000832204,0.003995829,0.001259081,0.005053063,0.002221762,0.001377526,0.005088344],"category_scores_gemma":[0.07556545,0.0004250995,0.001353516,0.003325573,0.003966362,0.004613245,0.00232161,0.001380554,0.000230056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006508831,"about_ca_system_score_gemma":0.006363661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106464,"about_ca_topic_score_gemma":0.007467797,"domain_scores_codex":[0.9647723,0.02954307,0.001267739,0.001045143,0.002920786,0.000450929],"domain_scores_gemma":[0.9206784,0.06597732,0.002574732,0.003374684,0.006915126,0.0004797696],"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":[0.0001819878,0.0003570047,0.01348442,0.0007506508,0.000136862,0.000189143,0.002520895,0.02194868,0.0006180865,0.8750638,0.002626012,0.08212245],"study_design_scores_gemma":[0.0002744123,0.0007301865,0.008367147,0.0008906854,0.0003657137,0.0005638624,0.006225768,0.3053596,0.003205172,0.6473788,0.0265049,0.0001337238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05305726,0.001493671,0.9078948,0.006039145,0.0001488728,0.001512816,0.0006753147,0.0003422789,0.02883571],"genre_scores_gemma":[0.4689449,0.0005700376,0.5274212,0.0002519343,0.00004978934,0.001201839,0.0002515286,0.00004834574,0.001260334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03683852,"threshold_uncertainty_score":0.194823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2052137794663171,"score_gpt":0.4590854498016763,"score_spread":0.2538716703353592,"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."}}