{"id":"W4400083383","doi":"10.3390/app14135596","title":"Activated Biochar-Amended Phytoextraction of Selenium in Contaminated Soil under Cold Climate in Northern Québec (Canada)","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; York University; Université du Québec en Abitibi-Témiscamingue; Centre Technologique des Résidus Industriels; Cégep de l'Abitibi Témiscamingue","funders":"","keywords":"Biochar; Amendment; Phytoremediation; Environmental remediation; Chemistry; Environmental chemistry; Organic matter; Soil contamination; Soil water; Agronomy; Environmental science; Pyrolysis; Contamination; Heavy metals; Soil science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007014808,0.0001592977,0.0002730525,0.0001960839,0.00008747941,0.00005141371,0.000250331,0.000127947,0.00003167191],"category_scores_gemma":[0.00002998078,0.0001257866,0.00002892577,0.001397813,0.0002420392,0.0001205962,0.00003297838,0.0002315745,0.0000171043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005519257,"about_ca_system_score_gemma":0.0003253418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3405892,"about_ca_topic_score_gemma":0.9301996,"domain_scores_codex":[0.9982074,0.00008630619,0.0004298256,0.0004680916,0.0003847056,0.0004236413],"domain_scores_gemma":[0.999312,0.0003680786,0.0001225996,0.0001197409,0.00003068277,0.00004685798],"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":[0.00007562694,0.00005905937,0.02310256,0.00005327768,0.000006495273,0.000002007215,0.0002067359,0.0005870258,0.9739221,0.000972102,0.00006555559,0.000947473],"study_design_scores_gemma":[0.0004001088,0.0001031312,0.04910976,0.0001351885,0.000007418462,0.000003601838,0.002266216,0.001596815,0.9452252,0.00021043,0.0007017934,0.0002403284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952771,0.0002884588,0.000009496277,0.0009005677,0.0006126642,0.0003432155,0.000007374859,0.00007802508,0.002483109],"genre_scores_gemma":[0.9997231,0.000006803721,0.00002600381,0.0001311966,0.00003791435,0.0000439316,0.00000446693,0.00001109713,0.0000155048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5896104,"threshold_uncertainty_score":0.6638018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011541907098471,"score_gpt":0.2578927071670917,"score_spread":0.237777288096107,"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."}}