{"id":"W1241572420","doi":"10.2166/wst.2005.0554","title":"Multi-wavelength fluorometry for anaerobic digestion process monitoring","year":2005,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Biotechnology Research Institute","funders":"","keywords":"Cuvette; Fluorescence spectroscopy; Anaerobic digestion; Wavelength; Fluorescence; Fluorescence spectrometry; Analytical Chemistry (journal); Process (computing); Chemistry; Biological system; Materials science; Chromatography; Optics; Computer science; Optoelectronics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156667,0.000560997,0.0006294439,0.0007654834,0.0003614457,0.0005339798,0.0006514948,0.0008641869,0.0008353808],"category_scores_gemma":[0.001372075,0.0002997792,0.0004491103,0.0006098429,0.0002706603,0.0005958118,0.0005444262,0.0009756233,0.0003577728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000775176,"about_ca_system_score_gemma":0.0003349909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007853385,"about_ca_topic_score_gemma":0.001013829,"domain_scores_codex":[0.9988532,0.0003606454,0.00004565352,0.0002346614,0.0004469817,0.00005887413],"domain_scores_gemma":[0.9993039,0.0003123135,0.0001049139,0.00008659006,0.0001564228,0.00003580015],"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":[0.0001968305,0.00005588312,0.001091809,0.0001584543,0.00001639131,0.0000473474,0.00002625106,0.00239913,0.9550402,0.0004195773,0.0003448888,0.04020322],"study_design_scores_gemma":[0.00002349127,0.0003667809,0.003333901,0.00002596835,0.00003484277,0.0004659868,0.00001831604,0.05450173,0.9349842,0.0005204834,0.005685038,0.00003918389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2665288,0.008308632,0.7188459,0.000509942,0.0002337449,0.0001449647,0.0004752955,0.001772594,0.003180092],"genre_scores_gemma":[0.6013855,0.002796703,0.3926791,0.0001712681,0.00004876702,0.0001755987,0.00031007,0.00008091344,0.002352098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001156667,"threshold_uncertainty_score":0.006117165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065499893429581,"score_gpt":0.294479885713213,"score_spread":0.2638248867789172,"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."}}