{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001242456,0.00009317073,0.0001390931,0.000125783,0.0002763844,0.00005385755,0.00008528979,0.0001201064,0.0004008561],"category_scores_gemma":[0.0002917086,0.00009125311,0.00001900101,0.0003832144,0.00004844512,0.0002918903,0.0000169979,0.0001230908,0.000137722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000167915,"about_ca_system_score_gemma":0.0001225842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005796327,"about_ca_topic_score_gemma":0.03464183,"domain_scores_codex":[0.9991743,0.00007646929,0.0001843547,0.0002709987,0.00009574808,0.0001981464],"domain_scores_gemma":[0.9995369,0.0001435842,0.00004549403,0.0001487635,0.00006545754,0.00005982624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000564553,0.000326298,0.2464245,0.0001346983,0.0000958192,0.00003875639,0.001380855,0.005138412,0.002451022,0.004555348,0.5766047,0.1622851],"study_design_scores_gemma":[0.001000963,0.0005444754,0.7006052,0.0000503079,0.00003195016,0.000009205888,0.0002924514,0.0007181227,0.001138612,0.002923394,0.2924671,0.0002183036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97375,0.0002282981,0.0002055148,0.01139497,0.001808536,0.0004117636,0.00007421122,0.0000579875,0.01206874],"genre_scores_gemma":[0.9962659,0.0001125435,0.0004752767,0.0004539698,0.0006302929,0.00001430897,0.0002296384,0.000002193915,0.001815905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4541807,"threshold_uncertainty_score":0.9829735,"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."}}