{"id":"W3135002042","doi":"10.1016/j.foreco.2021.119062","title":"Wood ash application in sugar maple stands rapidly improves nutritional status and growth at various developmental stages","year":2021,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Ministère des Forêts, de la Faune et des Parcs; Université TÉLUQ; Cegep de Sainte Foy; Government of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec en Outaouais","keywords":"Maple; Wood ash; Sugar; Aceraceae; Hardwood; Yellow birch; Soil water; Nutrient; Soil acidification; Soil pH; Temperate climate; Chemistry; Horticulture; Environmental science; Botany; Agronomy; Biology; Ecology; Soil science; Food science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001545698,0.0001007425,0.0001209155,0.0001029305,0.0001502973,0.00003472728,0.00005348997,0.00005567385,0.0002367738],"category_scores_gemma":[0.00001474648,0.00009875748,0.0000124765,0.0001081756,0.00007989073,0.00008883717,0.00007949671,0.00005794745,0.00003084186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590609,"about_ca_system_score_gemma":0.00003153868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000233365,"about_ca_topic_score_gemma":0.05350157,"domain_scores_codex":[0.9991402,0.00005103071,0.0001492129,0.0002872928,0.00009372136,0.000278537],"domain_scores_gemma":[0.9996844,0.0001242278,0.00003843187,0.00006545353,0.0000161272,0.00007134618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001096762,0.00004471489,0.9912348,0.0001122168,0.00003395843,0.00008106935,0.00008938552,0.00003051789,0.0000306373,0.002705136,0.0002027371,0.005325097],"study_design_scores_gemma":[0.0008053739,0.00009377024,0.9890251,0.0000086855,0.0000132622,0.00002311378,0.0002111507,0.0001523694,0.00006262278,0.002903022,0.006588027,0.0001134588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968641,0.0007022695,0.00005909257,0.0002930872,0.00006837335,0.0002474227,0.0000981707,0.00002262512,0.001644896],"genre_scores_gemma":[0.9947084,0.002433204,0.001776119,0.0001527571,0.00001286661,0.00001969948,0.0003948486,0.000003109438,0.0004990489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0532682,"threshold_uncertainty_score":0.9637696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006290508073535684,"score_gpt":0.2008172996830129,"score_spread":0.1945267916094772,"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."}}