{"id":"W2139513033","doi":"10.1034/j.1600-0706.2003.12415.x","title":"Biotic and abiotic factors affecting ectomycorrhizal diversity in boreal mixed‐woods","year":2003,"lang":"en","type":"article","venue":"Oikos","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Abiotic component; Biology; Ecology; Biotic component; Understory; Host (biology); Taiga; Diversity (politics); Ectomycorrhiza; Species diversity; Mycorrhiza; Canopy; Symbiosis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001370147,0.0001138494,0.0001285757,0.00002091165,0.0002555398,0.00004181611,0.0000828608,0.00007828473,0.00125869],"category_scores_gemma":[0.0002248118,0.0000477263,0.00004617214,0.0002259107,0.000006863635,0.0001055785,0.00006599711,0.00014614,0.00007639214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002425092,"about_ca_system_score_gemma":0.000003747994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268368,"about_ca_topic_score_gemma":0.001180792,"domain_scores_codex":[0.999265,0.00009533556,0.0001047241,0.0002095494,0.00009364505,0.0002317562],"domain_scores_gemma":[0.9986664,0.001162345,0.00003568903,0.00003181369,0.00001366634,0.00009009965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007835264,0.00004154165,0.9915579,0.00000513724,0.000004645551,0.000009119804,0.00019794,0.000001259414,0.005368958,0.0004399805,0.0003600354,0.002005648],"study_design_scores_gemma":[0.0000672739,0.000133509,0.9914706,0.00004052265,0.00001383876,0.00004139059,0.000885599,0.00005930083,0.003377058,0.0004412129,0.003261161,0.0002084699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906811,0.0001159427,0.0000016469,0.00005807071,0.0002911197,0.0001078543,0.0001348878,0.00003623404,0.00857314],"genre_scores_gemma":[0.9995316,0.0001076004,0.00002833251,0.00004286169,0.00004312565,7.144048e-7,0.0001243751,6.413828e-7,0.0001208031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008850442,"threshold_uncertainty_score":0.9996543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759939927264381,"score_gpt":0.2096788775417719,"score_spread":0.1920794782691281,"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."}}