{"id":"W4416570273","doi":"10.1111/rec.70264","title":"Restoring soil and tree nutrition through non‐industrial wood ash additions to sugarbushes","year":2025,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nutrient; Soil water; Sugar; Wood ash; Potassium; Environmental remediation; Litter; Soil acidification; Soil pH; Forest floor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355519,0.000321268,0.0002186399,0.0002482313,0.0005405737,0.0003366078,0.0006041129,0.0001699607,0.001034149],"category_scores_gemma":[0.0001896143,0.0001209443,0.0001392048,0.0002113746,0.0003013168,0.0001521289,0.0002705073,0.0003207698,0.00009500101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097047,"about_ca_system_score_gemma":0.001186212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03920985,"about_ca_topic_score_gemma":0.2209619,"domain_scores_codex":[0.9998962,0.0000136717,0.000005566578,0.00002103974,0.00003154972,0.00003189386],"domain_scores_gemma":[0.9997742,0.00001629089,0.00004877958,0.000009728991,0.00003574758,0.0001153817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002022236,0.002352244,0.03715752,0.0004673785,0.0001027128,0.000533401,0.0008736637,0.001642366,0.8950866,0.0001932544,0.0003807276,0.05918796],"study_design_scores_gemma":[0.0001715461,0.01357118,0.8363152,0.00003731681,0.0001512497,0.0001799149,0.001419251,0.002988517,0.1391696,0.0002266622,0.005736373,0.00003328437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996835,0.00003101009,0.0000381348,0.000008308894,0.000001932306,0.00001149379,0.00001576748,0.000005987623,0.0002039052],"genre_scores_gemma":[0.9971882,0.0001607291,0.0008829302,0.00004767971,0.000004793125,0.00002149777,0.0001292272,0.000005575239,0.001559446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03920985,"threshold_uncertainty_score":0.07796323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102116133440367,"score_gpt":0.2414508024877965,"score_spread":0.2104296411533929,"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."}}