{"id":"W3004063816","doi":"10.3390/f11020149","title":"Boreal Forest Multifunctionality Is Promoted by Low Soil Organic Matter Content and High Regional Bacterial Biodiversity in Northeastern Canada","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Biodiversity; Ecosystem; Environmental science; Taiga; Biomass (ecology); Ecology; Ecosystem services; Boreal; Forest ecology; Terrestrial ecosystem; Soil organic matter; Boreal ecosystem; Agroforestry; Soil water; Biology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003663973,0.0001136249,0.0001301088,0.00000412024,0.00006973313,0.00002828678,0.0001022507,0.00006564757,0.0003025552],"category_scores_gemma":[0.00001211718,0.00005350159,0.00003031114,0.0001104798,0.00004734119,0.00005659791,0.00006715359,0.00008399312,0.00001671975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005152325,"about_ca_system_score_gemma":0.00003264204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6081555,"about_ca_topic_score_gemma":0.9826745,"domain_scores_codex":[0.9992205,0.00003211611,0.0001314194,0.0002504455,0.0001824847,0.0001830298],"domain_scores_gemma":[0.999696,0.00003075329,0.00004917008,0.00003048875,0.00004335747,0.0001502049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001372218,0.00003083677,0.9894639,0.000006381943,0.000009153594,0.000008092997,0.00004033622,8.79447e-7,0.003398459,0.000002871772,0.00646473,0.0004371637],"study_design_scores_gemma":[0.0004121997,0.00007241972,0.9973174,0.000005313384,0.000005357821,0.0000032577,0.00004481002,0.001077639,0.000224331,0.00002456841,0.0006925632,0.0001201799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905902,0.00001305333,5.88871e-7,0.008685761,0.00008769643,0.0001311761,0.0004623035,0.00001592073,0.00001335532],"genre_scores_gemma":[0.996721,0.000003162729,0.000003271862,0.002472796,0.00009116309,0.000003584659,0.0006690334,7.780683e-7,0.00003519021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3745191,"threshold_uncertainty_score":0.3944539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860284227131092,"score_gpt":0.1696159999518743,"score_spread":0.1510131576805633,"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."}}