{"id":"W2045536872","doi":"10.1016/j.prevetmed.2011.01.005","title":"A scenario tree model for the Canadian Notifiable Avian Influenza Surveillance System and its application to estimation of probability of freedom and sample size determination","year":2011,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency; University of Prince Edward Island","funders":"","keywords":"Biosecurity; Notifiable disease; Population; Influenza A virus subtype H5N1; Estimation; Environmental health; Influenza A virus; Sample (material); Disease surveillance; Veterinary medicine; Statistics; Medicine; Geography; Virology; Virus; Public health; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192626,0.0001316424,0.0003643164,0.0001342974,0.0001411245,0.000003378291,0.00009118216,0.00005677581,0.000005732731],"category_scores_gemma":[0.003115428,0.000092902,0.00002892079,0.0001811199,0.0002471902,0.00008610621,0.00006989458,0.00007590012,4.584658e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557386,"about_ca_system_score_gemma":0.0001320607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288655,"about_ca_topic_score_gemma":0.01437882,"domain_scores_codex":[0.9988377,0.00008215427,0.0003933819,0.0002525699,0.0002334955,0.0002007155],"domain_scores_gemma":[0.9980794,0.0008238532,0.0001684778,0.0002582645,0.0005235637,0.0001464226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02068275,0.001163003,0.3230938,0.05022931,0.001591843,0.00002977674,0.1176195,0.008366804,0.1798829,0.01028325,0.0003082154,0.2867489],"study_design_scores_gemma":[0.001897234,0.002241858,0.3574916,0.0006769642,0.0001249512,0.00002115208,0.0003408173,0.6351685,0.001075903,0.0007676035,0.00007438188,0.0001190611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598569,0.0006024443,0.03426741,0.0003634192,0.00004182673,0.004482371,0.0001531988,0.00001961866,0.0002128122],"genre_scores_gemma":[0.9830085,0.00002231015,0.01639928,0.00004386019,0.00002461754,0.0004526348,0.00000637266,0.00001208361,0.00003033183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6268017,"threshold_uncertainty_score":0.9836201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401224012945358,"score_gpt":0.3672314668331912,"score_spread":0.2271090655386554,"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."}}