{"id":"W2606592826","doi":"","title":"The Resilience of Governance Networks: Wildlife Health Management in Canada","year":2016,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Canadian Wildlife Health Cooperative; Australian Government","keywords":"Resilience (materials science); Corporate governance; Wildlife; Environmental planning; Environmental resource management; Wildlife management; Network governance; Geography; Political science; Business; Ecology; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251049,0.0001595794,0.0001699545,0.001072768,0.01199214,0.006281791,0.00103837,0.0007486456,0.00547954],"category_scores_gemma":[0.004065749,0.0001702205,0.0001692599,0.00209197,0.004481438,0.001486948,0.003229263,0.001438002,0.0002064115],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1273104,"about_ca_system_score_gemma":0.2070566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923859,"about_ca_topic_score_gemma":0.997528,"domain_scores_codex":[0.9986726,0.0002215662,0.00001900928,0.0001004476,0.0002623044,0.0007241213],"domain_scores_gemma":[0.9960673,0.0003682208,0.0002815055,0.00006142751,0.001025976,0.002195582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001620613,0.0002839882,0.2495073,0.0003927969,0.0001063095,0.001955572,0.1360984,0.00632597,0.0007276214,0.1936412,0.135612,0.2751869],"study_design_scores_gemma":[0.00005349652,0.00008678574,0.3438998,0.001397584,0.00009562195,0.000226003,0.3166967,0.004454283,0.0004879888,0.02667271,0.3058158,0.0001131812],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.630267,0.0087439,0.001880859,0.1279089,0.0003319248,0.0002820797,0.001107328,0.00005843259,0.2294196],"genre_scores_gemma":[0.9799152,0.003666773,0.0006988585,0.001438623,0.0000200732,0.00002819035,0.0001561818,0.000009055384,0.01406697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8726896,"threshold_uncertainty_score":0.923706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004572118491426493,"score_gpt":0.1807006846188429,"score_spread":0.1761285661274164,"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."}}