{"id":"W2793789113","doi":"10.1016/j.scitotenv.2018.03.167","title":"Alleviation of heavy metal phytotoxicity in sewage sludge by vermicomposting with additive urban plant litter","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Guangdong Science and Technology Department; National Natural Science Foundation of China","keywords":"Compost; Phytotoxicity; Litter; Sewage sludge; Germination; Biomass (ecology); Chemistry; Agronomy; Sewage; Environmental science; Biology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009147899,0.0003678076,0.0003104018,0.0002414811,0.0001552089,0.0002463437,0.0002007041,0.0002756612,0.0007548119],"category_scores_gemma":[0.0001167251,0.0001405578,0.0003307573,0.0001485443,0.0001749964,0.0001434218,0.0002385776,0.0002665922,0.0001176561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600329,"about_ca_system_score_gemma":0.0003643012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761403,"about_ca_topic_score_gemma":0.004035127,"domain_scores_codex":[0.999909,0.00001760924,0.000009238755,0.00001899763,0.00001967526,0.00002532437],"domain_scores_gemma":[0.9999142,0.00001391551,0.00002217681,0.000007006211,0.00001594145,0.00002671088],"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":[0.00057034,0.00006367109,0.00035514,0.00006168467,0.00001072095,0.00003670732,0.00001455667,0.0001216945,0.9964222,0.00001551667,0.00001383257,0.002313921],"study_design_scores_gemma":[0.00002504252,0.001703112,0.005601673,0.00001276304,0.00005383596,0.00008789867,0.00005232896,0.0006559327,0.9911485,0.00002045849,0.0006326535,0.000005827801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998936,0.0002947347,0.0003899184,0.00001537265,0.00001207283,0.000008391191,0.00004269192,0.00001810075,0.00028275],"genre_scores_gemma":[0.9974636,0.0002899493,0.0009222956,0.00001833017,0.000003399047,0.000006902058,0.00008736039,0.000005569875,0.001202574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001761403,"threshold_uncertainty_score":0.00350225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145003201947669,"score_gpt":0.1956654766453491,"score_spread":0.1842154446258724,"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."}}