{"id":"W2921671982","doi":"10.1111/cobi.13311","title":"Global mismatches in aboveground and belowground biodiversity","year":2019,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Academy of Finland; H2020 European Research Council; Deutsche Forschungsgemeinschaft","keywords":"Biodiversity; Biome; Measurement of biodiversity; Soil biodiversity; Ecosystem; Global biodiversity; Environmental science; Species richness; Agroforestry; Ecology; Geography; Biology; Soil water; Soil organic matter; Biodiversity conservation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005610243,0.0001475486,0.0002367106,0.000985735,0.0002729214,0.0007591379,0.0002074244,0.0002188292,0.002592264],"category_scores_gemma":[0.001713857,0.00008663462,0.0001180819,0.001958477,0.0004487652,0.001192115,0.0008467037,0.0001715681,0.0001837543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637692,"about_ca_system_score_gemma":0.0001875342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004197556,"about_ca_topic_score_gemma":0.01141995,"domain_scores_codex":[0.9996762,0.00008937993,0.00002712817,0.0000898092,0.000056348,0.00006106976],"domain_scores_gemma":[0.9991707,0.0002537261,0.0003291675,0.00008880842,0.00007477077,0.0000827686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000761071,0.00001568967,0.9689827,0.00005609795,0.00007181472,0.00007396996,0.0006763347,0.0007158425,0.003243861,0.0008738326,0.0002732329,0.02494057],"study_design_scores_gemma":[0.000001128431,0.00001483608,0.9963916,0.00001250119,0.000008713464,0.0001074439,0.001126449,0.0004426489,0.0001748756,0.0008991835,0.0008164353,0.000004046931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974081,0.0002781185,0.0005254705,0.00007261039,0.000003605129,0.000002122748,0.0002364574,0.000008039702,0.001465593],"genre_scores_gemma":[0.9994728,0.00007398126,0.0002136974,0.0000198485,0.000002182434,0.00000142833,0.0001333078,0.000001592433,0.00008122463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004197556,"threshold_uncertainty_score":0.008671999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014396014370657,"score_gpt":0.2077335817891127,"score_spread":0.1875896216454061,"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."}}