{"id":"W4387773166","doi":"10.1038/s42003-023-05410-z","title":"Mycorrhizal feedbacks influence global forest structure and diversity","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Wilfrid Laurier University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Ecology; Ectomycorrhiza; Mycorrhizal fungi; Arbuscular mycorrhizal; Arbuscular mycorrhizal fungi; Mycorrhiza; Species diversity; Symbiosis; Inoculation","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":[0.0003128182,0.0002106499,0.0002330676,0.0007578557,0.000257736,0.0005431352,0.0001469131,0.0002095024,0.001102131],"category_scores_gemma":[0.0008504806,0.0001293304,0.0001567838,0.0004418548,0.0004469627,0.0005372339,0.000603525,0.0001912797,0.0001167855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731974,"about_ca_system_score_gemma":0.0001735493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578117,"about_ca_topic_score_gemma":0.01190089,"domain_scores_codex":[0.9998403,0.00004036638,0.000008806513,0.00004657695,0.00002334743,0.00004060755],"domain_scores_gemma":[0.9994753,0.0001444331,0.0001788918,0.00004713736,0.00005201533,0.0001021977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009321629,0.00003275407,0.9221603,0.0000885364,0.0002030654,0.0001786858,0.0004629423,0.002744873,0.05135581,0.0008961776,0.0002030304,0.02158066],"study_design_scores_gemma":[0.000003245553,0.00002637344,0.9968395,0.000005332082,0.00002220443,0.00005464516,0.0001908553,0.001649117,0.0005696299,0.0002952718,0.0003383487,0.000005402009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983287,0.0002776046,0.0004588437,0.00003222234,0.000001970348,0.000002436733,0.00008022905,0.00001779919,0.0008000769],"genre_scores_gemma":[0.9997588,0.00006287042,0.00009588222,0.000005510604,0.000002009456,0.000001035309,0.00002166685,0.000001791193,0.00005048014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003578117,"threshold_uncertainty_score":0.007114589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463953399150222,"score_gpt":0.2704953669315347,"score_spread":0.2558558329400325,"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."}}