{"id":"W2906989016","doi":"10.5004/dwt.2019.23297","title":"Degradation of pharmaceutical contaminants in water by an advanced plasma treatment","year":2019,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bioinformatics Solutions (Canada); University of Alberta","funders":"","keywords":"Contamination; Chemistry; Degradation (telecommunications); Environmental chemistry; Tap water; Ampicillin; Mineralization (soil science); Ozone; Environmental science; Environmental engineering; Antibiotics; Organic chemistry","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":[0.000122451,0.000221996,0.0001648132,0.0001787532,0.0001481061,0.0001804115,0.0001681885,0.0003036903,0.0008179328],"category_scores_gemma":[0.0001683236,0.0000920879,0.0001786312,0.0001457854,0.0001732052,0.0001849584,0.0001647407,0.0002454619,0.0001722448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806641,"about_ca_system_score_gemma":0.0001105491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000363535,"about_ca_topic_score_gemma":0.0004405149,"domain_scores_codex":[0.9998808,0.00001767535,0.000005340012,0.00002879002,0.00005259241,0.00001480177],"domain_scores_gemma":[0.9999387,0.00001193867,0.00001581261,0.000004392686,0.00002453177,0.000004539829],"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":[0.00002851354,0.000005068815,0.0001401562,0.0000306009,0.000002221042,0.00004297385,0.00001410936,0.00006774243,0.9968906,0.00003687211,0.0000334922,0.00270765],"study_design_scores_gemma":[0.000005321603,0.0001932116,0.0010608,0.000002650932,0.000003920798,0.000183564,0.00001861348,0.000985945,0.9959512,0.00003539781,0.001555823,0.000003470827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855144,0.001312815,0.0117318,0.0001108125,0.00002849764,0.00003001025,0.00009513902,0.0001022061,0.001074229],"genre_scores_gemma":[0.9915039,0.0004161151,0.006754585,0.0000365462,0.000008155042,0.00001577422,0.0000574353,0.000006233861,0.00120126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008179328,"threshold_uncertainty_score":0.002736211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219499270433042,"score_gpt":0.3129385809192634,"score_spread":0.2909886538759591,"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."}}