{"id":"W2064377978","doi":"10.1016/j.chemosphere.2006.03.045","title":"Fluorescence-based monitoring of tracer and substrate distribution in an UASB reactor","year":2006,"lang":"en","type":"article","venue":"Chemosphere","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Chemical oxygen demand; TRACER; Effluent; Chemistry; Rhodamine B; Dispersion (optics); Rhodamine; Bioreactor; Analytical Chemistry (journal); Substrate (aquarium); Fluorescence; Chromatography; Environmental chemistry; Environmental engineering; Wastewater; Environmental science; Ecology","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":[0.0001327805,0.00008165788,0.0001131577,0.000004143817,0.00002800804,0.00002018839,0.00007664908,0.00005192496,0.0000685006],"category_scores_gemma":[0.000006758175,0.00007542565,0.0000265675,0.0001556203,0.00008443712,0.0001383279,0.00001632295,0.00006679557,0.000006728043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007464324,"about_ca_system_score_gemma":0.000004392194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210929,"about_ca_topic_score_gemma":0.00004722717,"domain_scores_codex":[0.9993219,0.00002654547,0.0001724181,0.0001916094,0.0001430854,0.0001443873],"domain_scores_gemma":[0.9997405,0.0000144304,0.00005233136,0.0001430162,0.000005917648,0.00004380287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008284871,0.00007381996,0.8016906,0.00001025095,0.000001141822,0.000002173235,0.00005054458,0.0003849069,0.1960182,0.000003272659,0.00002252343,0.00173428],"study_design_scores_gemma":[0.0001374515,0.00001207227,0.5607076,0.00001711913,0.000005411529,1.682835e-7,0.00008130992,0.0003998249,0.4384707,0.00006459191,0.00004116752,0.00006258292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996632,0.00003247332,0.0000350328,0.00004582059,0.00002944117,0.00003666814,0.000006902963,0.00001705988,0.0001334276],"genre_scores_gemma":[0.9990941,0.000002800796,0.0007400379,0.000001000449,0.00005170574,0.00000348674,0.00002279065,0.000005444138,0.00007863164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2424524,"threshold_uncertainty_score":0.3342279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542446192715369,"score_gpt":0.2360432000740812,"score_spread":0.2206187381469275,"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."}}