{"id":"W4391743207","doi":"10.1038/s41597-023-02832-6","title":"The bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Vancouver Island University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Geography; Population; Ecology; Biology; Demography; Sociology","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":[0.0009110537,0.00006872167,0.00007538061,0.00002105088,0.0006836798,0.0002748531,0.0004714376,0.00002491423,0.00009070435],"category_scores_gemma":[0.0001466314,0.00004412171,0.00000934392,0.0002590207,0.000761937,0.0005113597,0.001201844,0.00006077276,0.00009643642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001871656,"about_ca_system_score_gemma":0.000006914829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897316,"about_ca_topic_score_gemma":0.003086142,"domain_scores_codex":[0.9990881,0.00002753017,0.0001634897,0.0003783675,0.0001680218,0.000174485],"domain_scores_gemma":[0.9992051,0.0002026477,0.0000443927,0.0005115522,0.000006600828,0.00002971432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000285344,0.00007820153,0.7224111,0.00009592895,0.00008145288,0.00001105172,0.002183674,0.0004309489,0.0008903288,0.002004421,0.2562877,0.01549674],"study_design_scores_gemma":[0.0001669205,0.00002923686,0.7504468,0.00003221241,0.0000609704,0.00001137813,0.0005150521,0.1324906,0.00008550048,0.008255474,0.1077154,0.0001904263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611395,0.001254922,0.0007827937,0.0008758128,0.001831118,0.0002340344,0.03340853,0.00005406211,0.0004192395],"genre_scores_gemma":[0.9931741,0.00001821893,0.0005467973,0.000007362954,0.00001192178,0.000004906527,0.005735293,0.000004108424,0.000497341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1485723,"threshold_uncertainty_score":0.5258381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607999813467442,"score_gpt":0.3171929596664338,"score_spread":0.2811129615317594,"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."}}