{"id":"W4318328545","doi":"10.3389/ffunb.2022.896043","title":"Impact of Pharmaceutical Compounds in the Bioremediation of Municipal Biosolids by the White-Rot-Fungi Trametes hirsuta","year":2022,"lang":"en","type":"article","venue":"Frontiers in Fungal Biology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioremediation; White rot; Biosolids; Trametes versicolor; White (mutation); Botany; Horticulture; Environmental science; Biology; Laccase; Environmental engineering; Contamination; Lignin; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008440024,0.0001558624,0.0002772948,0.00006944202,0.00008578515,0.000005914162,0.0006832848,0.00007271785,0.0006919638],"category_scores_gemma":[0.000049439,0.00009242563,0.0001175779,0.0005043499,0.0009792303,0.00007001885,0.0003210752,0.0004474892,0.0000058651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324046,"about_ca_system_score_gemma":0.00001193443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003651059,"about_ca_topic_score_gemma":0.0000167741,"domain_scores_codex":[0.9980767,0.0006475432,0.0003840096,0.0002395662,0.0002511624,0.0004010051],"domain_scores_gemma":[0.999394,0.0001809725,0.0001254697,0.0002345009,0.000001891137,0.00006315853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287749,0.0004403659,0.860664,0.00000444077,0.00002440562,0.00000277633,0.0008752749,0.0009202553,0.1288913,0.00002739185,0.00503861,0.002982405],"study_design_scores_gemma":[0.002090755,0.001478322,0.9531612,0.00001067244,0.00006116652,0.00003232811,0.002423359,0.01656042,0.01723201,0.001132487,0.005465991,0.0003512724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966295,0.0007126186,0.00005442892,0.0008149814,0.0002634366,0.0003159003,0.0001986538,0.000005582064,0.001004876],"genre_scores_gemma":[0.9991891,0.0001234767,0.0001843413,0.0003944461,0.00001542636,0.00001375572,0.00004861801,0.000008045663,0.00002282189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116593,"threshold_uncertainty_score":0.7576519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369430892083404,"score_gpt":0.3080595056214745,"score_spread":0.2843651967006405,"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."}}