{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004974311,0.0001192867,0.0002011982,0.00008210688,0.00002224569,0.000008579388,0.0000176564,0.000053186,0.00006235776],"category_scores_gemma":[0.000002792643,0.00006463434,0.0000250712,0.00003333589,0.00002219764,0.0001064448,0.000006559849,0.00002218206,0.00004882716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596417,"about_ca_system_score_gemma":0.00001273389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006772036,"about_ca_topic_score_gemma":0.00002128794,"domain_scores_codex":[0.9993449,0.00002389029,0.0002001892,0.0001940391,0.00008854554,0.0001484558],"domain_scores_gemma":[0.9996976,0.00003165565,0.00002260615,0.0001266177,0.00004126748,0.00008021023],"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":[0.0007711144,0.004561518,0.1003571,0.00005754652,0.0001085298,0.00002109936,0.001770788,0.000072562,0.7480263,0.0008796119,0.00002846748,0.1433454],"study_design_scores_gemma":[0.00773797,0.001506781,0.007570109,0.00001954935,0.00007564464,0.00001215467,0.000110916,0.003529571,0.9700391,0.00003009983,0.009285253,0.00008280377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982618,0.00004448908,0.00005705266,0.0006122005,0.00003494716,0.0006677988,0.00002477805,0.00001620738,0.0002807071],"genre_scores_gemma":[0.9965008,0.0002765731,0.0004213967,0.00005966978,0.000007207762,0.0001091036,0.001034327,0.00000992772,0.001580958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220128,"threshold_uncertainty_score":0.2635712,"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."}}