{"id":"W4312094784","doi":"10.1016/j.scitotenv.2022.160748","title":"WildHealthNet: Supporting the development of sustainable wildlife health surveillance networks in Southeast Asia","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wildlife; One Health; Disease surveillance; Environmental planning; Environmental health; Public health; Geography; Environmental resource management; Influenza A virus subtype H5N1; Livestock; Context (archaeology); Business; Environmental protection; Medicine; Ecology; Biology","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":[0.01004013,0.0006601184,0.0002182812,0.00127134,0.00070573,0.002294452,0.001885324,0.00065732,0.01154194],"category_scores_gemma":[0.009178816,0.0003192051,0.0003459713,0.0007417611,0.0005250698,0.003713337,0.006606612,0.0007409602,0.002507695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552106,"about_ca_system_score_gemma":0.007978762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276382,"about_ca_topic_score_gemma":0.02076584,"domain_scores_codex":[0.9980204,0.001088334,0.0001768105,0.0002480977,0.0001897578,0.0002765563],"domain_scores_gemma":[0.9856904,0.002880293,0.001486463,0.001518454,0.00415434,0.004270019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006506332,0.0006366666,0.2672725,0.001533658,0.0001697584,0.001146417,0.01088945,0.005201039,0.0126541,0.01051045,0.1467957,0.5425397],"study_design_scores_gemma":[0.0005117473,0.001461567,0.1830919,0.003349778,0.000190103,0.0008077059,0.02757469,0.0737242,0.01256089,0.01254501,0.6840225,0.0001599079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4599748,0.003561069,0.211543,0.04299247,0.001406499,0.008015799,0.03679078,0.0278306,0.207885],"genre_scores_gemma":[0.7837318,0.001845729,0.1610117,0.005434135,0.0002523456,0.004222681,0.02264732,0.0009477353,0.01990659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02276382,"threshold_uncertainty_score":0.05309796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156438494782306,"score_gpt":0.2567661191894636,"score_spread":0.2452017342416406,"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."}}