{"id":"W7096191208","doi":"","title":"Date of acceptance: 11/11/2015 Cost Recovery and Affordability in Small Drinking Water Treatment Plants in Alberta","year":2016,"lang":"en","type":"article","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marginal cost; Unit (ring theory); Economic cost; Capital cost; Unit cost; Water treatment; Cost–benefit analysis; Opportunity cost; Total cost; Economic impact analysis","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":[0.0003892104,0.00007583993,0.0001361768,0.0004927306,0.0004985285,0.0008167883,0.0003920023,0.0001733475,0.01197996],"category_scores_gemma":[0.001468931,0.0000527623,0.0001314291,0.0006459419,0.0004340707,0.0001674366,0.0002939549,0.0001623475,0.0004709892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004883459,"about_ca_system_score_gemma":0.004046849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4742767,"about_ca_topic_score_gemma":0.7250333,"domain_scores_codex":[0.999576,0.00003494425,0.000007475058,0.00002874745,0.0002367421,0.0001160358],"domain_scores_gemma":[0.9994678,0.0001175329,0.000070028,0.00003855533,0.0002113326,0.00009476749],"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":[0.002231936,0.0006295172,0.3051908,0.0004963595,0.0000799898,0.001312694,0.001670486,0.1044613,0.01993746,0.02703279,0.03660161,0.5003549],"study_design_scores_gemma":[0.000198988,0.0006842965,0.7756962,0.0001556182,0.00006951942,0.0003922062,0.004676487,0.08478346,0.009643158,0.009111319,0.1145127,0.00007598742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580759,0.0003664017,0.002797185,0.0007878943,0.00002149785,0.0001251417,0.0009349251,0.00006590921,0.03682523],"genre_scores_gemma":[0.9813311,0.0002013226,0.001099814,0.00002239806,0.000005164909,0.00001083945,0.0005239305,0.00001375071,0.01679174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5257233,"threshold_uncertainty_score":0.9430323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362971230933782,"score_gpt":0.2026472579352775,"score_spread":0.1890175456259397,"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."}}