{"id":"W2911254166","doi":"10.1002/ldr.3275","title":"Changes in rhizosphere bacterial and fungal community composition with vegetation restoration in planted forests","year":2019,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Chinese Academy of Sciences; National Science Foundation","keywords":"Acidobacteria; Rhizosphere; Chronosequence; Biology; Actinobacteria; Microbial population biology; Soil carbon; Proteobacteria; Ecology; Botany; Agronomy; Ecosystem; Soil water; Bacteria","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":[0.0003552225,0.0002774341,0.0003164233,0.0005268654,0.0003274385,0.0004429441,0.000209003,0.0001992926,0.000380224],"category_scores_gemma":[0.0003541589,0.000142119,0.0002455947,0.0003473771,0.0003052782,0.0003166207,0.0002956461,0.0002653894,0.00007095848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005756231,"about_ca_system_score_gemma":0.0003441079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007186517,"about_ca_topic_score_gemma":0.01219579,"domain_scores_codex":[0.9998255,0.00001917902,0.00001543563,0.00004573484,0.00003580387,0.0000583717],"domain_scores_gemma":[0.9995157,0.00004890063,0.0001545027,0.00002319277,0.0001057366,0.0001519989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001253462,0.0001716805,0.496494,0.0001301857,0.0001379306,0.0003745348,0.0005296062,0.0007286398,0.4876482,0.00007530476,0.00006949465,0.01238695],"study_design_scores_gemma":[0.000003549437,0.0001188867,0.9958485,0.000002842288,0.00001413502,0.0000909257,0.0001714364,0.0004221822,0.003167688,0.00001859953,0.000137911,0.00000330713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997126,0.0001018784,0.00005815388,0.000002988432,9.613232e-7,0.000001826137,0.00005330441,0.000002540817,0.00006565941],"genre_scores_gemma":[0.9995325,0.00004745521,0.0001321172,0.000006882304,0.000001686091,0.000004330468,0.0001794591,0.000001071326,0.00009455271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007186517,"threshold_uncertainty_score":0.01428938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214079535504005,"score_gpt":0.2079448927683142,"score_spread":0.1958040974132741,"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."}}