{"id":"W2051327814","doi":"10.1080/10934529.2014.882652","title":"Feasibility of electrochemical degradation of pharmaceutical pollutants in different aqueous matrices: Optimization through design of experiments","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Degradation (telecommunications); Aqueous solution; Pollutant; Electrochemistry; Biochemical engineering; Chemistry; Environmental science; Process engineering; Computer science; Engineering; Organic chemistry; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002234021,0.0009871728,0.001121211,0.0002963168,0.0003081661,0.00084792,0.0008082623,0.0009436817,0.0003268549],"category_scores_gemma":[0.002061392,0.0004908363,0.0007281173,0.0003049847,0.0003921156,0.0003638286,0.0003922255,0.0005742353,0.00009777291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583295,"about_ca_system_score_gemma":0.0005671427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137858,"about_ca_topic_score_gemma":0.0007435587,"domain_scores_codex":[0.998521,0.0004516839,0.0001877188,0.0003237788,0.0003614053,0.0001543881],"domain_scores_gemma":[0.9991481,0.0004219688,0.0001620613,0.00005826211,0.0001668083,0.0000427141],"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":[0.0006716195,0.0003423615,0.000358837,0.0002764888,0.00004868482,0.00003685613,0.00005719785,0.005058178,0.9876562,0.00009781783,0.00001441931,0.005381266],"study_design_scores_gemma":[0.0001013572,0.003795944,0.00105624,0.00001010162,0.0001159217,0.0000395791,0.0000317629,0.00783377,0.9862618,0.00007793329,0.0006524327,0.00002326218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9075445,0.001121809,0.08953644,0.00006166691,0.00003874305,0.0008071408,0.0001316016,0.0000834035,0.0006746288],"genre_scores_gemma":[0.8978747,0.001752059,0.09790844,0.00004692045,0.00001652349,0.001383914,0.0001891728,0.00002236184,0.0008059994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002234021,"threshold_uncertainty_score":0.01181483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06689136570144494,"score_gpt":0.3572567815771561,"score_spread":0.2903654158757112,"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."}}