{"id":"W1988577358","doi":"10.1002/cjce.21981","title":"Pharmaceutical wastewater treatment using granular activated carbon and UV/H<sub>2</sub>O<sub>2</sub> processes: Experimental analysis and modelling","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Activated carbon; Chemistry; Desorption; Wastewater; Total organic carbon; Langmuir adsorption model; Carbon fibers; Chemical oxygen demand; Chromatography; Langmuir; Pulp and paper industry; Nuclear chemistry; Environmental chemistry; Environmental engineering; Organic chemistry; Materials science; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002454563,0.0006823163,0.0009372025,0.0002679016,0.0003911768,0.0007236504,0.0005107708,0.001301567,0.0007093243],"category_scores_gemma":[0.0003223065,0.0002764187,0.0005818772,0.0006346007,0.0003805656,0.0004104645,0.0002794778,0.0004161857,0.0002272734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221654,"about_ca_system_score_gemma":0.0005385317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009632929,"about_ca_topic_score_gemma":0.00901627,"domain_scores_codex":[0.9996276,0.00005427214,0.00002391991,0.00005810408,0.0001788984,0.00005723049],"domain_scores_gemma":[0.9998248,0.00006045614,0.00003510585,0.0000150958,0.00004595859,0.00001853918],"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":[0.0009407901,0.0003487522,0.002741883,0.000949503,0.00004828299,0.0002403834,0.00004860449,0.04751198,0.9359948,0.0002048551,0.0001378985,0.01083215],"study_design_scores_gemma":[0.0001327405,0.001259034,0.01061154,0.00002054631,0.00009150335,0.0001341732,0.0001135431,0.1219102,0.8641217,0.0002342669,0.001324298,0.00004643811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936941,0.0005851053,0.004002296,0.00006052419,0.00001457676,0.00008031384,0.0001960604,0.00005003798,0.001316923],"genre_scores_gemma":[0.9940324,0.0005119004,0.004639119,0.00001811785,0.000004310699,0.00005270211,0.0001199948,0.000008061207,0.0006133632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009632929,"threshold_uncertainty_score":0.01915371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255283692733845,"score_gpt":0.2149021928880419,"score_spread":0.2023493559607034,"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."}}