{"id":"W7130318483","doi":"10.5281/zenodo.18683031","title":"D5.3. Relationship between soil biodiversity, crop yield and quality and delivey of aecosystem services","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"European Commission","keywords":"Agriculture; Soil quality; Ecosystem services; Ecosystem; Soil biodiversity; Soil water; Nutrient; Soil organic matter; Crop diversity","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":[0.001712831,0.0003004161,0.0002279624,0.0009167398,0.0004269136,0.001688708,0.0003337678,0.0003263309,0.009288369],"category_scores_gemma":[0.003835061,0.00009908751,0.0005852969,0.00148969,0.0004356021,0.0006209178,0.001105089,0.0003340263,0.0006579825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725322,"about_ca_system_score_gemma":0.0008520169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210045,"about_ca_topic_score_gemma":0.03216779,"domain_scores_codex":[0.9990527,0.0002047139,0.00008614556,0.0001618795,0.0003083964,0.000186294],"domain_scores_gemma":[0.9961498,0.001207862,0.001221721,0.0002008234,0.0008914741,0.0003284265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001056232,0.00004396826,0.9813142,0.0001135313,0.0002025922,0.0001472458,0.0002119553,0.001309926,0.002009338,0.000936953,0.0009234356,0.01268113],"study_design_scores_gemma":[0.000003346039,0.00005935636,0.9916746,0.00002961238,0.00004096052,0.0001115037,0.0007883147,0.001612969,0.0009475885,0.0002758886,0.004450202,0.000005880675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736081,0.0007138066,0.00156606,0.0003726157,0.00001489377,0.00004874992,0.00682849,0.00003966724,0.01680777],"genre_scores_gemma":[0.9947376,0.0001725357,0.0008149673,0.00004190092,0.000006469112,0.00002421651,0.001970119,0.00000539393,0.002226748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02210045,"threshold_uncertainty_score":0.04394364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08161959194336771,"score_gpt":0.2727727031158117,"score_spread":0.191153111172444,"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."}}