{"id":"W4401637636","doi":"10.2166/wpt.2024.211","title":"A novel camera-based sensor for real-time wastewater quality monitoring","year":2024,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"John and Melinda Thompson Endowment Fund in Vision Neurosciences","keywords":"Wastewater; Environmental science; Computer science; Quality (philosophy); Remote sensing; Real-time computing; Environmental engineering; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001408186,0.0003803492,0.0003805114,0.0003151252,0.000233734,0.0001913314,0.0007586448,0.000562128,0.0001546851],"category_scores_gemma":[0.0006983282,0.0002873754,0.0001327548,0.0004614647,0.0005143567,0.0007367213,0.0006618064,0.0005663359,0.002226552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005264267,"about_ca_system_score_gemma":0.00002405349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009359296,"about_ca_topic_score_gemma":0.000004290477,"domain_scores_codex":[0.9969628,0.0001097454,0.0005778981,0.0009979665,0.0004011038,0.0009505048],"domain_scores_gemma":[0.9981603,0.0005272163,0.0001144522,0.00107522,0.00004584496,0.00007695495],"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":[0.00008600733,0.0001473885,0.0010059,0.00007950368,0.00006261087,0.00004900514,0.000373479,0.0002307339,0.9941297,0.0003152302,0.0005935717,0.002926847],"study_design_scores_gemma":[0.0003779036,0.0002067607,0.0001700623,0.00005438943,0.00007724603,0.00007288844,0.0005411479,0.0003161071,0.8904327,0.001996365,0.1053214,0.0004330499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484765,0.00005931656,0.003301225,0.04032365,0.0009936709,0.0008215685,0.0000387021,0.00505634,0.0009290534],"genre_scores_gemma":[0.8715959,0.00002045926,0.1255914,0.00004962,0.0001760551,0.0004235285,0.00001715084,0.00009272107,0.002033195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1222902,"threshold_uncertainty_score":0.9999579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081871558622371,"score_gpt":0.3270633022909406,"score_spread":0.2862445867047169,"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."}}