{"id":"W1007499392","doi":"10.5942/jawwa.2015.107.0114","title":"Calgary's Glenmore Water Treatment Plant: Historical Beauty and Modern Technology","year":2015,"lang":"en","type":"article","venue":"American Water Works Association","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Beauty; Water quality; Water treatment; Environmental science; Geography; Engineering; Environmental planning; Water resource management; Environmental engineering; Archaeology; Art; Ecology; Biology; Aesthetics","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":[0.001017916,0.0004977711,0.0002292045,0.001696784,0.00742034,0.006316229,0.0007924282,0.00216207,0.009714241],"category_scores_gemma":[0.001274882,0.0004384922,0.0001515435,0.003733401,0.0132069,0.002663233,0.002210858,0.004240808,0.001335787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0352226,"about_ca_system_score_gemma":0.01498873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4854294,"about_ca_topic_score_gemma":0.7765206,"domain_scores_codex":[0.9987785,0.0001499952,0.00003928888,0.0002820521,0.0005059798,0.0002441665],"domain_scores_gemma":[0.9994,0.0001358711,0.00007316445,0.0000606502,0.0002213066,0.0001088887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001055027,0.00005104621,0.003495652,0.0006172503,0.00002208705,0.0009343175,0.01374567,0.0006959092,0.001823175,0.4424986,0.3047323,0.2312785],"study_design_scores_gemma":[0.000003331832,0.000007613979,0.002584179,0.0001449581,0.00000178721,0.00009773015,0.0007818244,0.00003112314,0.0001308443,0.002615057,0.9935908,0.00001078579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02933568,0.2066025,0.003717916,0.1170399,0.005872367,0.0000541763,0.0005560222,0.0001513672,0.6366701],"genre_scores_gemma":[0.2888069,0.1666977,0.006272886,0.02491573,0.002619531,0.00005013166,0.0003884261,0.0003376391,0.5099111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5145706,"threshold_uncertainty_score":0.9652078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007217803104173912,"score_gpt":0.1800199287534928,"score_spread":0.1728021256493189,"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."}}