{"id":"W2138809084","doi":"10.1061/40976(316)197","title":"Performance of Water Treatment Plant Elements","year":2008,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2008","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Index (typography); Quality (philosophy); Liberian dollar; Environmental science; Computer science; Operations research; Water resource management; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00097506,0.0004334241,0.0004883194,0.0006900908,0.0005307639,0.001341633,0.000496104,0.0006885526,0.005455763],"category_scores_gemma":[0.002701576,0.000153176,0.0004303973,0.0007487365,0.0002681107,0.001028639,0.0006262353,0.0003257006,0.001073058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032053,"about_ca_system_score_gemma":0.0004305499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004647452,"about_ca_topic_score_gemma":0.004079428,"domain_scores_codex":[0.9990661,0.0001166752,0.00006389998,0.0001571724,0.0004539009,0.000142273],"domain_scores_gemma":[0.9985343,0.0004340294,0.0001332051,0.0001400039,0.0006521551,0.0001063068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004179224,0.0008922725,0.1046799,0.0006690098,0.000226414,0.0004481274,0.0005362411,0.3202099,0.3262444,0.002169247,0.003434014,0.2363113],"study_design_scores_gemma":[0.00008102611,0.004984762,0.1641449,0.00005093918,0.0001707689,0.0002538319,0.00129245,0.4221071,0.3948407,0.00190017,0.01007368,0.00009971496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843832,0.0001388278,0.007888161,0.00005221341,0.00001846117,0.0000647714,0.0005185052,0.0003386117,0.006597434],"genre_scores_gemma":[0.9961389,0.00003871087,0.001410659,0.000008091235,0.000001905614,0.0000135224,0.0003277065,0.00001980381,0.00204073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005455763,"threshold_uncertainty_score":0.01825136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006873569535014962,"score_gpt":0.1483476388244804,"score_spread":0.1414740692894654,"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."}}