{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492576,0.00009308891,0.0001170106,0.00003503359,0.0002524242,0.0007178721,0.000731792,0.00007275511,0.0001916842],"category_scores_gemma":[0.00002138915,0.00003898282,0.00004874498,0.0002219073,0.00005966596,0.0006006692,0.0004068785,0.0003187724,0.0001180345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005315916,"about_ca_system_score_gemma":0.0000155084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170696,"about_ca_topic_score_gemma":0.0133263,"domain_scores_codex":[0.9991884,0.0001312641,0.0001410005,0.0001364451,0.000191038,0.00021184],"domain_scores_gemma":[0.9995641,0.000156152,0.00003444133,0.000112088,0.00003147692,0.0001018003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005596549,0.00007644494,0.9252273,0.00002654345,0.00006402975,0.0004607713,0.0003615251,0.00002290587,0.0006661623,0.00008725002,0.05785554,0.01509556],"study_design_scores_gemma":[0.0005337819,0.0002039086,0.5215544,0.0002860303,0.00008290568,0.0009789674,0.009202354,0.03354999,0.00003510954,0.0001185497,0.4328301,0.0006238595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951081,0.001336498,0.000001879398,0.0006209463,0.0005954926,0.00004699168,0.002103817,0.0000497221,0.0001365553],"genre_scores_gemma":[0.9974505,0.001024238,0.00002012817,0.0001800135,0.0001869853,3.023829e-7,0.001030996,4.551621e-7,0.0001064198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4036729,"threshold_uncertainty_score":0.9948742,"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."}}