{"id":"W4213075133","doi":"10.1002/eap.2575","title":"Ecosystem restoration and belowground multifunctionality: A network view","year":2022,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Restoration ecology; Ecosystem; Environmental science; Ecology; Key (lock); Land degradation; Ecosystem services; Land use; 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":[0.0003334031,0.0000813701,0.0001126668,0.000005404584,0.0009287301,0.00003679703,0.0001278075,0.00004704494,0.0007072267],"category_scores_gemma":[0.00001377314,0.00003706065,0.00004718874,0.0003615027,0.00002957972,0.00003694739,0.0001587024,0.0001356866,0.00003142906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007266535,"about_ca_system_score_gemma":0.000006914452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003456798,"about_ca_topic_score_gemma":0.0009813968,"domain_scores_codex":[0.9991158,0.0001341955,0.0001734403,0.0002634767,0.0001470852,0.0001659911],"domain_scores_gemma":[0.9995213,0.0002473723,0.00007093247,0.0000534984,0.00003232488,0.00007457606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001668014,0.002083958,0.1777382,0.00004073855,0.0001248318,0.00001367682,0.0001283166,0.003165632,0.01298387,0.4710364,0.01002267,0.322495],"study_design_scores_gemma":[0.0001224366,0.0002205979,0.458953,0.000001277318,0.00001714856,0.00002873118,0.0001718071,0.004889369,0.000004525166,0.01343095,0.5219807,0.0001794745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957932,0.0002693602,0.00007651046,0.001864419,0.00007498687,0.0004947323,0.00007337928,0.0001168885,0.001236489],"genre_scores_gemma":[0.9966967,0.00002889881,0.000237074,0.0007780077,0.0002419226,0.001592791,0.0002205936,7.418977e-7,0.0002032435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.511958,"threshold_uncertainty_score":0.7743637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924104146695691,"score_gpt":0.2175753608183988,"score_spread":0.1983343193514419,"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."}}