{"id":"W3109568582","doi":"10.7717/peerj.10428","title":"A meta-analysis contrasting active versus passive restoration practices in dryland agricultural ecosystems","year":2020,"lang":"en","type":"article","venue":"PeerJ","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Restoration ecology; Biodiversity; Agroforestry; Agriculture; Habitat; Ecosystem; Environmental science; Land degradation; Ecosystem services; Vegetation (pathology); Grazing; Geography; Environmental resource management; Ecology; Biology","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":[0.0001430695,0.00008109823,0.0002838074,0.00003502896,0.0001087363,0.00002168189,0.00007203766,0.00004063125,0.0003691827],"category_scores_gemma":[0.0004949138,0.00005867063,0.0001243906,0.0005705709,0.00003396693,0.0002947669,0.00004724249,0.0001058147,0.0001081587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006069454,"about_ca_system_score_gemma":0.000003836275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003689843,"about_ca_topic_score_gemma":0.02553424,"domain_scores_codex":[0.9992391,0.0001242488,0.0001632843,0.0002182323,0.0001403218,0.0001148192],"domain_scores_gemma":[0.9992166,0.0003606443,0.0003154484,0.00005128807,0.00001673005,0.00003933236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011618,0.000328614,0.5959141,0.00005411338,0.1371558,0.00009815083,0.04238471,0.2052109,0.0095405,0.0009041626,0.006401285,0.0009960148],"study_design_scores_gemma":[0.000840105,0.0001346173,0.9141524,7.912027e-7,0.02969053,0.000001006595,0.004350877,0.04990968,0.0002142626,0.00006063098,0.0004253654,0.0002197035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981925,0.0001077805,0.0002704279,0.008491972,0.00008843153,0.0002171556,0.00001641689,0.00002637,0.008856467],"genre_scores_gemma":[0.9994693,0.000009354751,0.0001758787,0.0001183534,0.00002380712,0.00004403147,0.00002108511,0.000002232827,0.0001359443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3182383,"threshold_uncertainty_score":0.9922472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09914025872656923,"score_gpt":0.3020770518134021,"score_spread":0.2029367930868329,"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."}}