{"id":"W2011234989","doi":"10.1016/j.watres.2012.04.019","title":"Kinetics of UV inactivation of wastewater bioflocs","year":2012,"lang":"en","type":"article","venue":"Water Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinetics; Ultraviolet; Chemistry; Wastewater; Chromatography; Fraction (chemistry); Pulp and paper industry; Environmental engineering; Materials science; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003279066,0.0000518241,0.00007180095,0.00007633653,0.00003051638,0.000006217372,0.00007933756,0.00004083401,0.001291121],"category_scores_gemma":[0.000010185,0.00003116565,0.00002459851,0.0001450148,0.0001513506,0.0002082591,0.0001475545,0.00005810451,0.0004351926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007159233,"about_ca_system_score_gemma":9.109369e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006597364,"about_ca_topic_score_gemma":0.000008219734,"domain_scores_codex":[0.9990526,0.00008106561,0.00012767,0.00008831524,0.0003637072,0.000286672],"domain_scores_gemma":[0.9997448,0.000009709188,0.00001822213,0.0001578318,0.00001849583,0.00005090948],"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":[0.00002116516,0.0002134179,0.1850937,0.00001170481,0.000004463592,1.900658e-7,0.0009672971,0.00001925633,0.8127357,0.00002269599,0.0002316943,0.0006787125],"study_design_scores_gemma":[0.0001457196,0.0001326225,0.06830188,0.000005017671,0.000003158563,8.16646e-7,0.00005818975,0.000009298859,0.9295695,0.0002660949,0.001472359,0.00003529166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913099,0.000007973794,0.0000276367,0.00009345414,0.00004491712,0.0001234489,0.0000014364,0.000006306549,0.00838489],"genre_scores_gemma":[0.9985363,0.000003700336,0.0001536884,0.000002322117,0.00003014481,0.000007923203,0.00001255188,0.000006583856,0.001246785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168339,"threshold_uncertainty_score":0.9996218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06223559989582829,"score_gpt":0.3228067344136851,"score_spread":0.2605711345178569,"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."}}