{"id":"W2992019433","doi":"10.2175/193864707787781223","title":"Commercial Scale Electrocoagulation Wastewater Treatment at Canadian Forces Base Esquimalt (Navy) and at Vancouver Shipyards — a Success Story","year":2007,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Shipyard; Navy; Electrocoagulation; Base (topology); Scale (ratio); Wastewater; Waste management; Engineering; Operations management; Shipbuilding; Environmental engineering; History; Archaeology; Geography; Mathematics; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002092744,0.0005687756,0.0003676593,0.0005158079,0.004508474,0.003688243,0.001675066,0.003230299,0.002060225],"category_scores_gemma":[0.001580622,0.0003527272,0.0004003929,0.0006651211,0.00170388,0.001545757,0.0009465673,0.002252919,0.0005644237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008801969,"about_ca_system_score_gemma":0.01067693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5307842,"about_ca_topic_score_gemma":0.8248893,"domain_scores_codex":[0.9977573,0.0001148011,0.00003880477,0.0001297165,0.001463058,0.0004964086],"domain_scores_gemma":[0.9975367,0.0002101306,0.00004593998,0.00006570377,0.001805116,0.0003364638],"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":[0.002029434,0.004071258,0.07253853,0.000660087,0.000231726,0.00578971,0.004853486,0.006102734,0.3059687,0.005970923,0.08934386,0.5024396],"study_design_scores_gemma":[0.000641442,0.006278188,0.2624397,0.0002137965,0.0001622748,0.00385579,0.04882922,0.01548009,0.2557071,0.002810425,0.4032346,0.0003474363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175229,0.004043018,0.003672356,0.02669088,0.0004752821,0.0002764977,0.0003098242,0.0003347161,0.04667457],"genre_scores_gemma":[0.9492121,0.002251665,0.002779382,0.001495247,0.00005662055,0.00003445291,0.0004157684,0.00007962687,0.04367516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4692158,"threshold_uncertainty_score":0.9439582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061474948813761,"score_gpt":0.2134598501331701,"score_spread":0.2028451006450325,"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."}}