{"id":"W4416565444","doi":"10.1111/ddi.70123","title":"Identifying Ecological Knowledge and Research Gaps via the African Database of Savanna Protected Areas ( <scp>ADSPA</scp> )","year":2025,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"South African National Parks; Leverhulme Trust; York University; National Geographic Society","keywords":"Arid; Polygon (computer graphics); Protected area; Biodiversity; Land cover; Cluster (spacecraft); Fire ecology; Applied ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005015013,0.00008504681,0.0001087926,0.00004220691,0.002355925,0.00004270583,0.0002314367,0.00006726299,0.001127593],"category_scores_gemma":[0.0004617657,0.00006708613,0.00003733533,0.0006621486,0.001064966,0.0001255784,0.002893748,0.0002077954,0.00006266488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045027,"about_ca_system_score_gemma":0.00001345928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005250953,"about_ca_topic_score_gemma":0.0004752334,"domain_scores_codex":[0.9990213,0.0001487098,0.0001122356,0.0002501366,0.00020176,0.0002658885],"domain_scores_gemma":[0.9993204,0.0002879653,0.00003872333,0.0001925529,0.00005653168,0.0001038082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005964632,0.001560002,0.7716411,0.0001966223,0.0001007747,0.00002174457,0.00475368,0.000002510151,0.01240079,0.08168203,0.1254779,0.002103266],"study_design_scores_gemma":[0.0002984773,0.00003678765,0.9648972,0.00001770647,0.0000342337,0.000003083341,0.006919375,0.00006902933,0.001060187,0.001474608,0.02514728,0.00004202432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808849,0.000287157,0.001104124,0.0005502228,0.0000508359,0.0003204433,0.001149119,0.00002806169,0.01562512],"genre_scores_gemma":[0.9990761,0.0001966472,0.00001613529,0.00002742512,0.000006298617,0.00001646317,0.000212962,0.000001396944,0.0004465916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932561,"threshold_uncertainty_score":0.9997855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08233596328146132,"score_gpt":0.314430878771345,"score_spread":0.2320949154898836,"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."}}