{"id":"W6943462608","doi":"10.15468/hm49kv","title":"EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Itatinga, São Paulo, Brazil","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Acacia mangium; Eucalyptus; Acacia; Litter; Loam; Land use; Plant litter; Soil fertility","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":[0.0003233061,0.0003117759,0.000246471,0.001564174,0.0007548087,0.000581365,0.0003313513,0.0002302945,0.003479874],"category_scores_gemma":[0.000595415,0.0002706585,0.0002535844,0.001778812,0.0005179106,0.000306286,0.0006067144,0.0002028388,0.0002743173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595902,"about_ca_system_score_gemma":0.001200587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07864048,"about_ca_topic_score_gemma":0.2479906,"domain_scores_codex":[0.9998068,0.00002651557,0.00001218245,0.00006571603,0.0000476818,0.00004110585],"domain_scores_gemma":[0.9996482,0.000070128,0.0001010527,0.00002836315,0.00007766904,0.00007450294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172731,0.0001179282,0.8706462,0.0004615641,0.0001093926,0.001028389,0.0112636,0.0004656561,0.02203801,0.001883795,0.001203151,0.09066505],"study_design_scores_gemma":[0.000006598671,0.00008184373,0.9863695,0.0000546703,0.00001979976,0.0003515866,0.003008753,0.000206043,0.0005926516,0.0001470404,0.009150084,0.00001138726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9886724,0.001077097,0.0003322675,0.0001406522,0.000009083037,0.00006995955,0.001326579,0.00004164826,0.008330225],"genre_scores_gemma":[0.9941461,0.0005728535,0.001372453,0.00004170559,0.000007500497,0.0000548606,0.0007931652,0.00001265145,0.002998787],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.07864048,"threshold_uncertainty_score":0.1563655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027947951234998,"score_gpt":0.2447305271073695,"score_spread":0.2167825758723715,"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."}}