{"id":"W4390878024","doi":"10.3897/bdj.12.e115000","title":"Soil macrofauna communities in Brazilian land-use systems","year":2024,"lang":"en","type":"article","venue":"Biodiversity Data Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Instituto Chico Mendes de Conservação da Biodiversidade; Universidade de São Paulo; Fondation pour la Recherche sur la Biodiversite; Universidade Federal do Paraná; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Sorbonne Université; Deutsche Forschungsgemeinschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Colorado State University","keywords":"Agroforestry; Geography; Land use; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004401598,0.0003215475,0.0003335916,0.002790645,0.0006289242,0.0007168422,0.0003622094,0.0002327039,0.001314742],"category_scores_gemma":[0.001591068,0.0002287183,0.0002524656,0.00390627,0.0005540327,0.0004007558,0.0008280464,0.0001212891,0.0001754074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642103,"about_ca_system_score_gemma":0.0008070147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1608322,"about_ca_topic_score_gemma":0.3448221,"domain_scores_codex":[0.9996234,0.00006385495,0.00004257996,0.0001046207,0.00007957456,0.00008593057],"domain_scores_gemma":[0.9991199,0.0001693452,0.0003200048,0.00006489787,0.0002163735,0.0001093174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007205334,0.00002326366,0.9604123,0.000237345,0.00007558618,0.000192975,0.008698656,0.0002181896,0.003808804,0.0003391947,0.000282171,0.02563941],"study_design_scores_gemma":[0.00000275132,0.00003228705,0.9939455,0.00004207722,0.00002594108,0.0001445563,0.00266346,0.0002438116,0.0001736203,0.0000749878,0.002643183,0.000007809669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968879,0.0005697127,0.0001204135,0.00003990177,0.000001275953,0.00002157289,0.0009337194,0.00001030978,0.001415278],"genre_scores_gemma":[0.9981574,0.0003756647,0.0004465971,0.00001461414,0.000001564304,0.00002627055,0.0007177102,0.000003779986,0.0002564144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608322,"threshold_uncertainty_score":0.319792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06656632156820373,"score_gpt":0.2402296577541196,"score_spread":0.1736633361859158,"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."}}