{"id":"W4415534950","doi":"10.1016/j.sciaf.2025.e03044","title":"Macrofauna-environment interactions and their potential in restoring degraded landscapes in the context of Sub-Saharan Africa: A review of current knowledge","year":2025,"lang":"en","type":"article","venue":"Scientific African","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation; National Science and Technology Council; International Development Research Centre; Copperbelt University; Department of Science and Innovation, South Africa","keywords":"Context (archaeology); Biodiversity; Restoration ecology; Ecosystem; Ecosystem services; Habitat; Agriculture; Novel ecosystem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661824,0.00082436,0.00139262,0.007141903,0.000572563,0.002813827,0.000733662,0.001262733,0.002523365],"category_scores_gemma":[0.005149959,0.0004661666,0.001368959,0.008133906,0.0008060233,0.002459463,0.001011757,0.0008589759,0.0002798997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486029,"about_ca_system_score_gemma":0.005402668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007518679,"about_ca_topic_score_gemma":0.0146371,"domain_scores_codex":[0.9992456,0.000175119,0.0002274462,0.000122883,0.0001588898,0.00007007489],"domain_scores_gemma":[0.995397,0.003314386,0.0007310741,0.00004491785,0.0004042657,0.00010832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001250556,0.00005856041,0.004377307,0.3840602,0.0009953014,0.0007068019,0.002963593,0.000452869,0.001251616,0.003578075,0.008358114,0.5930724],"study_design_scores_gemma":[0.00002443469,0.0002802086,0.03327466,0.3937424,0.006415586,0.003711663,0.007368312,0.0002817557,0.0007099145,0.004155674,0.5499443,0.00009108968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007727474,0.9984716,0.00005105148,0.0002936905,0.00005444003,0.000005997722,0.00003708039,0.000002162953,0.000311242],"genre_scores_gemma":[0.004717127,0.9947944,0.0001624356,0.0001653217,0.00005450513,0.00000885019,0.00002530406,0.000001122993,0.00007084688],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007518679,"threshold_uncertainty_score":0.01494986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988127409771541,"score_gpt":0.2770956421455844,"score_spread":0.257214368047869,"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."}}