{"id":"W4413313020","doi":"10.1016/j.biocon.2025.111429","title":"The Zoo Sphere of Influence Model","year":2025,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Zoo","funders":"Chester Zoo; Department of Conservation, New Zealand; University of California","keywords":"Geography","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":[0.0002227233,0.00005787598,0.00006234361,0.000009656062,0.0002956513,0.00002111775,0.0002201505,0.0000524085,0.00009388366],"category_scores_gemma":[0.0001362075,0.00003456874,0.00003308333,0.0002064325,0.0003614543,0.00004351002,0.0002282209,0.00004345354,0.00003454306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003975787,"about_ca_system_score_gemma":0.00001289823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000353497,"about_ca_topic_score_gemma":0.0001692999,"domain_scores_codex":[0.9994703,0.00004490252,0.000149964,0.000137136,0.00009944652,0.00009828575],"domain_scores_gemma":[0.9996374,0.0001106653,0.00006459258,0.0001507809,0.00002029464,0.00001621705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002489627,0.00002117045,0.9879757,0.00000375635,0.0000062879,1.812153e-7,0.00004228982,0.001939223,0.002542123,0.001365165,0.002051564,0.004027654],"study_design_scores_gemma":[0.0001007526,0.00001965366,0.9394748,0.000005294065,0.000005882712,6.068871e-8,0.0000908716,0.01147071,0.0001921454,0.003117214,0.04547745,0.00004516914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861728,0.00004319631,0.001198292,0.003519387,0.00003110473,0.0001570708,0.000002315961,0.0000227392,0.008853118],"genre_scores_gemma":[0.9955782,0.00005143385,0.00042118,0.001682014,0.000003215366,0.000006989047,0.000004045214,8.496781e-7,0.002252091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04850089,"threshold_uncertainty_score":0.2273941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721013528573417,"score_gpt":0.2184674789070961,"score_spread":0.2012573436213619,"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."}}