{"id":"W2745846270","doi":"10.1016/j.watres.2017.08.023","title":"Corrigendum to “Performance characterization and kinetic modeling of ozonation using a new method: ROH,O3 concept” [Water Res. 122 (2017) 172–182]","year":2017,"lang":"en","type":"erratum","venue":"Water Research","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trojan Technologies (Canada); Western University","funders":"","keywords":"Kinetic energy; Characterization (materials science); Environmental science; Chemistry; Environmental chemistry; Materials science; Physics; Nanotechnology","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":[0.00229303,0.00030804,0.0005085649,0.0003841298,0.000566381,0.0002939533,0.0007180096,0.0003496138,0.0003184274],"category_scores_gemma":[0.00007707017,0.0002144592,0.00007885481,0.0001938281,0.0002052621,0.0004255963,0.001020981,0.0007542555,0.0002038429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818181,"about_ca_system_score_gemma":0.00006079871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083057,"about_ca_topic_score_gemma":0.00003629276,"domain_scores_codex":[0.9960062,0.0004242453,0.0005391182,0.0008072114,0.001371906,0.0008513391],"domain_scores_gemma":[0.9986178,0.00001021188,0.0001230838,0.000820188,0.0001440008,0.0002847008],"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":[0.0001080511,0.0001051241,0.001107939,0.0003660024,0.000100861,0.00001720405,0.009684241,0.008283338,0.9339994,0.000003021478,0.0274922,0.01873263],"study_design_scores_gemma":[0.000831424,0.0003070228,0.001688019,0.000898224,0.0001453922,0.00001620975,0.0001507502,0.3858302,0.4157532,0.0002397061,0.1930975,0.001042284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618831,0.000150784,0.02548554,0.001467212,0.007112165,0.001177776,0.00008874742,0.0000748794,0.002559823],"genre_scores_gemma":[0.6382999,0.0001898723,0.00234895,0.00002590652,0.001363546,0.00003152191,0.0008404748,0.0000828589,0.3568169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5182462,"threshold_uncertainty_score":0.9957564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1981613878319415,"score_gpt":0.3992386541126386,"score_spread":0.2010772662806971,"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."}}