{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006672454,0.0001086713,0.0001402462,0.00001237626,0.0002255839,0.00001455896,0.0005500923,0.00002541837,0.00004079716],"category_scores_gemma":[0.0000391822,0.00003298301,0.00004740553,0.0002629751,0.001098838,0.00009543217,0.000300571,0.000106451,0.000003761864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005570212,"about_ca_system_score_gemma":0.000009314916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003890499,"about_ca_topic_score_gemma":0.00001706184,"domain_scores_codex":[0.9988669,0.00009151438,0.0002080754,0.0002283585,0.0003891597,0.0002160434],"domain_scores_gemma":[0.9994507,0.0001485767,0.0002154196,0.000136287,0.00001784914,0.00003114343],"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":[0.00004793796,0.00009112965,0.0005534353,0.00000229838,0.000003965632,2.744185e-7,0.0002808224,0.00005571223,0.9971224,0.00003475402,0.0001014753,0.001705783],"study_design_scores_gemma":[0.00008278563,0.0004972008,0.1359443,0.00007597608,0.000009163406,0.00001119087,0.0000881052,0.001399001,0.8616241,0.00007712456,0.000092217,0.00009881674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986769,0.00002466827,0.000004364143,0.0005453542,0.00003214048,0.0002385567,0.00007230506,0.00001671545,0.0003889927],"genre_scores_gemma":[0.999651,0.000005877639,0.0001872515,0.00002760431,0.00004280667,0.000005194533,0.000005384779,9.314385e-7,0.00007396806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354983,"threshold_uncertainty_score":0.4048713,"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."}}