{"id":"W2807021269","doi":"10.1002/elsc.201800070","title":"Evaluation of the applicability of the aquatic ascomycete <i>Phoma</i> sp. UHH 5‐1‐03 for the removal of pharmaceutically active compounds from municipal wastewaters using membrane bioreactors","year":2018,"lang":"en","type":"article","venue":"Engineering in Life Sciences","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Public Health Agency of Canada","keywords":"Phoma; Membrane bioreactor; Effluent; Bioreactor; Wastewater; Sewage treatment; Pulp and paper industry; Chemistry; Biology; Environmental science; Environmental engineering; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001928946,0.0001218857,0.0001737816,0.00002082544,0.0001211457,0.000008421816,0.0007126538,0.00003772419,0.00006105113],"category_scores_gemma":[0.0003899901,0.00006153676,0.00009226763,0.0004615407,0.002100139,0.0001445835,0.0002725705,0.000116367,0.00000168479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098468,"about_ca_system_score_gemma":0.00003664988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005280187,"about_ca_topic_score_gemma":0.00003620782,"domain_scores_codex":[0.9982236,0.000134993,0.0003258628,0.0002151543,0.0008655329,0.0002348836],"domain_scores_gemma":[0.9990023,0.0004851056,0.0001601396,0.0002829433,0.0000109629,0.00005856074],"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":[0.00002264888,0.00008686005,0.01588776,0.0000157292,0.00002245889,5.015178e-8,0.0007748337,0.06884423,0.9133761,0.00002350604,0.000003315132,0.0009425325],"study_design_scores_gemma":[0.0003430468,0.00003817894,0.07969441,0.00005225229,0.0000794564,0.000001297181,0.0002091828,0.4350406,0.4842906,0.0001365613,0.0000510655,0.00006337175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984676,0.00005519952,0.0001355834,0.0001909089,0.0002498227,0.0005229801,0.00001983004,0.000004640015,0.0003534578],"genre_scores_gemma":[0.9987977,0.000006763504,0.001092577,0.00005864618,0.00003096506,0.000004296432,3.886002e-7,0.000006118228,0.000002584673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290855,"threshold_uncertainty_score":0.773805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06907744396507835,"score_gpt":0.3238904087899074,"score_spread":0.254812964824829,"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."}}