{"id":"W3158767930","doi":"10.1007/s11270-021-05146-8","title":"Soil Water Responses to Wood Ash Addition to Acidic Upland Soils: Implications for Combatting Calcium Decline in Lakes","year":2021,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; Laurentian University; Trent University","funders":"University of Toronto","keywords":"Soil water; Leaching (pedology); Wood ash; Environmental science; Fly ash; Acid neutralizing capacity; Environmental chemistry; Soil pH; Agronomy; Chemistry; Soil science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001207383,0.0001425221,0.0001691762,0.0001178079,0.0004869233,0.0005131779,0.000322289,0.0003352958,0.001779906],"category_scores_gemma":[0.0002525698,0.0001138127,0.0001447283,0.0001833897,0.0002959926,0.0003571751,0.0002738467,0.0003016666,0.0001040167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000865543,"about_ca_system_score_gemma":0.0008414071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02818351,"about_ca_topic_score_gemma":0.05486206,"domain_scores_codex":[0.9999452,0.000007948407,0.000003168271,0.00001198588,0.000007397046,0.00002431565],"domain_scores_gemma":[0.9998324,0.00002946161,0.00003132484,0.000006224292,0.0000431559,0.00005737032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005887317,0.0002850661,0.02936262,0.0001575469,0.00005020934,0.0001185866,0.000314951,0.0009414768,0.9548054,0.0002896991,0.0002521928,0.007535015],"study_design_scores_gemma":[0.0001643588,0.002366298,0.663859,0.00002322279,0.0001109193,0.00009247221,0.002582212,0.005894828,0.3196882,0.0007913593,0.004399294,0.00002782552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993412,0.00006216908,0.0001010589,0.00006185281,0.000002890842,0.000006658681,0.00005784459,0.000005626616,0.0003606938],"genre_scores_gemma":[0.9990804,0.00006908504,0.000146544,0.00004631427,0.000002329642,0.000005853793,0.00006902525,0.000003647175,0.0005767129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02818351,"threshold_uncertainty_score":0.05603898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121676992356396,"score_gpt":0.2581855000287935,"score_spread":0.2269687301052295,"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."}}