{"id":"W4206331214","doi":"10.1101/2022.01.11.475793","title":"Global monitoring of soil animal communities using a common methodology","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université du Québec à Montréal; Saint Mary's University","funders":"Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"Soil mesofauna; Soil biology; Microfauna; Soil biodiversity; Soil functions; Environmental science; Soil organic matter; Soil ecology; Environmental resource management; Biodiversity; Ecology; Soil water; Soil science; 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":[0.008543689,0.0007006885,0.0008172235,0.005990813,0.0009025184,0.002160016,0.001404717,0.0009269111,0.00141993],"category_scores_gemma":[0.004514792,0.0003672284,0.001024971,0.005855868,0.001091191,0.002355854,0.00512467,0.0009169914,0.0007160092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007871179,"about_ca_system_score_gemma":0.001576901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005415251,"about_ca_topic_score_gemma":0.00958323,"domain_scores_codex":[0.9928287,0.002263899,0.0005237797,0.002079121,0.001939521,0.0003650427],"domain_scores_gemma":[0.9903445,0.0006168688,0.00236374,0.003620949,0.0024618,0.0005921717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003482818,0.0002206305,0.3933499,0.0009507042,0.001040541,0.0003084176,0.002372742,0.008344153,0.07884737,0.008160596,0.01217524,0.4938814],"study_design_scores_gemma":[0.0001052579,0.0008626755,0.7403961,0.0007996242,0.0006378496,0.0007128856,0.003065035,0.01404528,0.04015999,0.009271055,0.1897183,0.0002258228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1983733,0.002932866,0.7424667,0.0008440044,0.0003751843,0.002760681,0.01911182,0.00298443,0.03015106],"genre_scores_gemma":[0.3561141,0.001522071,0.614268,0.0008762308,0.0002203912,0.005171495,0.01664925,0.0006210303,0.004557396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008543689,"threshold_uncertainty_score":0.04518384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035229030291877,"score_gpt":0.2898730194347248,"score_spread":0.186350116405537,"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."}}