{"id":"W2746026471","doi":"10.1016/j.watres.2017.08.036","title":"Removal of atrazine and its by-products from water using electrochemical advanced oxidation processes","year":2017,"lang":"en","type":"article","venue":"Water Research","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atrazine; Electrochemistry; Environmental chemistry; Chemistry; Water treatment; Environmental science; Environmental engineering; Pesticide; Electrode; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001957135,0.000286235,0.000285656,0.0001757084,0.0001358669,0.0003640999,0.0003103781,0.0004159485,0.0005049026],"category_scores_gemma":[0.0002193032,0.0001954295,0.0002813688,0.0001318573,0.0001528308,0.0004233558,0.0002571363,0.0004455712,0.0002049703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309863,"about_ca_system_score_gemma":0.0001767603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295298,"about_ca_topic_score_gemma":0.001741142,"domain_scores_codex":[0.9998235,0.00002212487,0.00001395325,0.00003199601,0.00007261816,0.00003590611],"domain_scores_gemma":[0.9999537,0.000009004131,0.000009694345,0.000004889135,0.00001835578,0.000004336245],"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":[0.00005942772,0.00001520753,0.0001515815,0.00004620068,0.000006529706,0.00004043936,0.00002485722,0.0001266574,0.9948021,0.00004724193,0.00003151298,0.004648185],"study_design_scores_gemma":[0.000005146127,0.0000845605,0.0005723538,0.000001851433,0.000008992988,0.00003940015,0.00001814184,0.0008895259,0.9975891,0.00002002568,0.0007678467,0.000003040506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931074,0.001413492,0.004212896,0.0001023192,0.00002647628,0.00001904952,0.00004892421,0.00003844759,0.001030997],"genre_scores_gemma":[0.9922707,0.001185438,0.003666921,0.00004583539,0.00001218499,0.00001001318,0.00007116871,0.000008484874,0.002729128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001295298,"threshold_uncertainty_score":0.002575576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05376464715889193,"score_gpt":0.3463269434760803,"score_spread":0.2925622963171884,"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."}}