{"id":"W1675114865","doi":"10.1016/j.gecco.2015.08.001","title":"Building blocks for a wild animal health business case","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health","funders":"U.S. Geological Survey","keywords":"Wildlife; Pace; Value (mathematics); Business; One Health; Investment (military); Public relations; Animal health; Plan (archaeology); Public health; Marketing; Political science; Medicine; Geography; Ecology; Computer science; Veterinary medicine; Biology; Nursing","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":[0.0003681893,0.00007696923,0.0001445297,0.000005003268,0.0002065739,0.00001645616,0.00005041781,0.0000782744,0.00001713967],"category_scores_gemma":[0.0002127619,0.00003661442,0.00002363836,0.000152664,0.00005747572,0.00007842478,0.0000463835,0.00002732667,0.00000391754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003579329,"about_ca_system_score_gemma":0.00002365344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100174,"about_ca_topic_score_gemma":0.004268874,"domain_scores_codex":[0.9993379,0.00006975327,0.0001533248,0.0001936155,0.0000322472,0.0002132012],"domain_scores_gemma":[0.9995831,0.0001057915,0.00008220117,0.00001960676,0.0001012583,0.0001080266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006863279,0.0001102775,0.7788201,0.00003097616,0.00004001965,0.00006961242,0.00003036709,0.00001418254,0.0003453762,0.08888914,0.08392301,0.04704063],"study_design_scores_gemma":[0.0003385445,0.0004882559,0.940291,0.000004573399,0.00001779267,0.000134349,0.0002163379,0.001334245,0.000001009894,0.00944294,0.04763051,0.0001004536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538223,0.0001919392,0.0001433756,0.04523098,0.0001023364,0.0002398646,0.00005968949,0.00004139358,0.0001681296],"genre_scores_gemma":[0.9916517,0.00001508433,0.0005690046,0.00751733,0.0001085757,0.00003123691,0.0000693735,3.177364e-7,0.00003738134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614709,"threshold_uncertainty_score":0.2382132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05886504845462195,"score_gpt":0.2956092799822847,"score_spread":0.2367442315276627,"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."}}