{"id":"W3047754179","doi":"10.1016/j.scitotenv.2020.141526","title":"Sustainable microalgae-based technology for biotransformation of benzalkonium chloride in oil and gas produced water: A laboratory-scale study","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NordForsk; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; European Cooperation in Science and Technology; European Social Fund; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Benzalkonium chloride; Tetraselmis suecica; Biotransformation; Chemistry; Biocide; Seawater; Chloride; Environmental chemistry; Effluent; Produced water; Extraction (chemistry); Chromatography; Organic chemistry; Environmental engineering; Algae; Environmental science","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":[0.0006976774,0.0001255682,0.0001696737,0.00003508965,0.0002116097,0.00001197335,0.0005374631,0.00003545104,0.00006632973],"category_scores_gemma":[0.00002712859,0.00007203628,0.00004901952,0.0004749312,0.001517336,0.0001682274,0.0004008604,0.00009842721,0.000006121836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448623,"about_ca_system_score_gemma":0.00001388774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007350965,"about_ca_topic_score_gemma":0.000002457912,"domain_scores_codex":[0.9987017,0.00003103714,0.0002766422,0.000327552,0.0003679486,0.0002951409],"domain_scores_gemma":[0.9994563,0.00001629757,0.0001093227,0.0003597377,0.000004173557,0.00005409637],"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":[0.00005776803,0.0001976348,0.002937764,0.00004055565,0.00000565022,3.58563e-7,0.001537805,0.03060927,0.9640861,0.000006935014,0.000002284997,0.0005178351],"study_design_scores_gemma":[0.0004562267,0.0001765644,0.004651736,0.000007520965,0.00003439942,7.333385e-7,0.00304872,0.002759424,0.9886326,0.0001022054,0.00003683391,0.00009309201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929169,0.00002137446,0.00001963147,0.006581772,0.00001019153,0.0003279753,0.000009332401,0.000006349744,0.0001064538],"genre_scores_gemma":[0.9995735,0.00001668394,0.00015255,0.00002869288,0.000006053584,0.00004790497,0.000001118932,0.000006369675,0.0001671536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02784985,"threshold_uncertainty_score":0.559069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004062284865983408,"score_gpt":0.1835150688446294,"score_spread":0.179452783978646,"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."}}