{"id":"W4404241046","doi":"10.1002/agj2.21714","title":"Soil and plant cations as affected by application of wood ash, biochar, and papermill biosolids","year":2024,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biosolids; Biochar; Agronomy; Environmental science; Wood ash; Charcoal; Soil conditioner; Pulp and paper industry; Waste management; Chemistry; Pyrolysis; Soil water; Environmental engineering; Soil science; Biology; Engineering","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":[0.0002676917,0.0001028318,0.000105972,0.00003642009,0.0001094514,0.00004777505,0.00008756595,0.00005127918,0.0004826866],"category_scores_gemma":[0.00001117914,0.00008615073,0.00002690603,0.00009086618,0.0002005914,0.0001772747,0.0000836235,0.0001473665,0.0001283591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008566669,"about_ca_system_score_gemma":0.00001231788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115099,"about_ca_topic_score_gemma":0.00001458141,"domain_scores_codex":[0.9992276,0.00004873439,0.0002028513,0.0002049302,0.0001639572,0.00015196],"domain_scores_gemma":[0.9996289,0.00004894759,0.00006163152,0.000117436,0.000002185057,0.0001409258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001117162,0.0001895466,0.01487066,0.00003731372,0.0001002996,0.00001278774,0.00122203,0.00017663,0.838973,0.0004252074,0.01013997,0.1338413],"study_design_scores_gemma":[0.001493776,0.0006275497,0.3213184,0.0002379014,0.0003260513,0.002272489,0.0007562466,0.00499041,0.3226838,0.00438385,0.3397838,0.001125668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993792,0.002093012,0.001984611,0.0006228371,0.00005929286,0.0001426478,0.00002180635,0.00001482092,0.001268998],"genre_scores_gemma":[0.9979689,0.0008940115,0.00082561,0.00007392908,0.00003741553,0.00001685495,0.00001051217,0.00001089707,0.0001618949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5162892,"threshold_uncertainty_score":0.528508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004161007739263647,"score_gpt":0.2117588980383002,"score_spread":0.2075978902990366,"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."}}