{"id":"W191305187","doi":"10.2166/wst.2004.0001","title":"Trends in optical monitoring","year":2004,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Process engineering; Spectrophotometry; Computer science; Biochemical engineering; Environmental science; Wastewater; Remote sensing; Systems engineering; Engineering; Environmental engineering; Chemistry; Chromatography","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":[0.0004844363,0.0001071865,0.0001325954,0.0008286382,0.000174005,0.00004673292,0.0007100258,0.00009196931,0.0000770607],"category_scores_gemma":[0.00002037228,0.00007636439,0.00003384101,0.002591708,0.001216822,0.0003015194,0.0004691156,0.000188605,0.0004851069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792662,"about_ca_system_score_gemma":0.000007792756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003426052,"about_ca_topic_score_gemma":0.000008353447,"domain_scores_codex":[0.9983687,0.000008236809,0.0001873218,0.0004672836,0.0003428278,0.0006255928],"domain_scores_gemma":[0.9995287,0.00000318193,0.00001764401,0.0003650826,0.00000645344,0.00007892584],"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":[0.00000235367,0.0000879225,0.1577614,9.77773e-7,0.000001635617,0.00004342748,0.0009573574,0.005153665,0.8126528,0.0005363776,0.000003116943,0.02279901],"study_design_scores_gemma":[0.0001780137,0.00004476547,0.02130449,0.00000854805,0.000003269686,0.00001210857,0.0002052638,0.00003306248,0.9725471,0.005141821,0.000384761,0.0001367623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945689,0.000004962552,0.0003072642,0.003121004,0.0001692505,0.00002315829,1.688761e-7,0.0001367358,0.0016686],"genre_scores_gemma":[0.9968292,0.000001865256,0.002817421,0.00001019329,0.0000295643,0.00001043726,3.659244e-7,0.000005366272,0.0002956391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1598943,"threshold_uncertainty_score":0.623523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158556826410133,"score_gpt":0.2680091960160748,"score_spread":0.2521535133750615,"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."}}