{"id":"W3201762124","doi":"10.1016/j.chemosphere.2021.132498","title":"Assessing and predicting phosphorus phytoavailability from sludge incineration ashes","year":2021,"lang":"en","type":"article","venue":"Chemosphere","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Ministry of Environment and Sustainable Development; Natural Sciences and Engineering Research Council of Canada; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques","keywords":"Fertilizer; Loam; Phosphorus; Bioavailability; Extraction (chemistry); Incineration; Chemistry; Solubility; Environmental science; Sewage sludge; Ammonium oxalate; Environmental chemistry; Soil water; Agronomy; Pulp and paper industry; Environmental engineering; Waste management; Sewage treatment; Soil science; Chromatography","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":[0.0006804931,0.0006151285,0.0006153766,0.0008786751,0.000239173,0.000499567,0.0002989603,0.0005268546,0.0001601176],"category_scores_gemma":[0.001139035,0.000276307,0.0005111022,0.000421415,0.0001931224,0.0003357966,0.0001929895,0.0002926791,0.0001356878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000542218,"about_ca_system_score_gemma":0.0006862757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02682875,"about_ca_topic_score_gemma":0.03772505,"domain_scores_codex":[0.9997637,0.00005579038,0.00002023212,0.00006826252,0.00006900832,0.00002297932],"domain_scores_gemma":[0.9990736,0.000559246,0.0001533141,0.00002971477,0.0001393661,0.00004472029],"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":[0.0007582128,0.0002217201,0.372077,0.0002097622,0.0001392631,0.0001768361,0.00009897332,0.02929041,0.5678311,0.00004449928,0.00006371242,0.02908856],"study_design_scores_gemma":[0.0000473539,0.001264224,0.5626253,0.00001901035,0.000185122,0.0002593044,0.0002275112,0.2384013,0.1962611,0.0002039409,0.0004597305,0.00004612748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972764,0.00007188373,0.002435766,0.00000552759,7.788e-7,0.00001370547,0.00009998292,0.00003025421,0.00006574404],"genre_scores_gemma":[0.9911895,0.0001332117,0.008100011,0.000007419811,0.00000135915,0.00001899788,0.0003605848,0.000009244713,0.000179735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02682875,"threshold_uncertainty_score":0.0533452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247553022271211,"score_gpt":0.2287627513086602,"score_spread":0.2162872210859481,"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."}}