{"id":"W1989707041","doi":"10.2166/wst.2014.057","title":"Instrumentation, control and automation in wastewater – from London 1973 to Narbonne 2013","year":2014,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Instrumentation (computer programming); Automation; Control (management); Systems engineering; Key (lock); Computer science; Control system; Wastewater; Automatic control; Engineering; Control engineering; Waste management; Electrical engineering; Computer security; Artificial intelligence; Operating system; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001544653,0.001331103,0.0006562734,0.003444828,0.0007231475,0.002533382,0.0006060647,0.002045318,0.01515356],"category_scores_gemma":[0.001874298,0.0007184579,0.0003147913,0.003339656,0.003164413,0.002666798,0.002229744,0.001937933,0.008071022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008864448,"about_ca_system_score_gemma":0.003347651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281834,"about_ca_topic_score_gemma":0.01979822,"domain_scores_codex":[0.9984354,0.0002276728,0.0002667737,0.00034657,0.0006106116,0.0001129547],"domain_scores_gemma":[0.9986778,0.0004082668,0.0002213511,0.00007693109,0.0004841588,0.0001314977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005964186,0.00009247909,0.001215199,0.007254289,0.00006942633,0.001128764,0.0006637186,0.002928782,0.008780546,0.07816964,0.1674358,0.7316649],"study_design_scores_gemma":[0.000005780172,0.00006734156,0.001481774,0.0006746888,0.000005169753,0.0003325341,0.00008313988,0.0001068576,0.001811465,0.00287898,0.9925361,0.00001613538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002309325,0.9267338,0.003443836,0.009043314,0.005652419,0.00002504596,0.0002800162,0.00006205861,0.05245017],"genre_scores_gemma":[0.03846398,0.8099154,0.003017271,0.002460898,0.005667214,0.00004821226,0.0004421487,0.0001026893,0.1398822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01515356,"threshold_uncertainty_score":0.06431639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007077717792877455,"score_gpt":0.2225516537287717,"score_spread":0.2154739359358942,"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."}}