{"id":"W4235562202","doi":"10.32920/ryerson.14653872","title":"Online decision support system for water reuse system planning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reuse; Decision support system; Computer science; Reclaimed water; Set (abstract data type); Resource (disambiguation); Potable water; Interface (matter); Water resources; Environmental science; Engineering; Environmental engineering; Data mining; Waste management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001096133,0.0008155063,0.0006254403,0.001148606,0.0004804236,0.002098416,0.00137611,0.0009816726,0.04878988],"category_scores_gemma":[0.003798602,0.0003792943,0.0005717929,0.0008499119,0.00023561,0.001414272,0.001065983,0.00095908,0.01172548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869111,"about_ca_system_score_gemma":0.0011691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773436,"about_ca_topic_score_gemma":0.003833665,"domain_scores_codex":[0.9993669,0.0001486276,0.00007632661,0.0001338232,0.0002221951,0.00005211579],"domain_scores_gemma":[0.9983784,0.0007761841,0.00008969441,0.0002768247,0.0003820407,0.00009682613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001055157,0.0006954078,0.003373369,0.0005890622,0.0001279048,0.0009177667,0.0003466851,0.1992005,0.01541803,0.02808816,0.1392128,0.6109752],"study_design_scores_gemma":[0.0001821043,0.00007998958,0.0007618446,0.00005903756,0.00003101422,0.0001056879,0.00006176707,0.8789546,0.01023378,0.01423504,0.0952564,0.00003872798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01749485,0.0002476746,0.8191478,0.0007369595,0.0002879478,0.0006707565,0.009876993,0.1241518,0.02738517],"genre_scores_gemma":[0.3284077,0.0004500906,0.6188431,0.0004703182,0.0001172876,0.001338684,0.01718842,0.002222021,0.03096235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04878988,"threshold_uncertainty_score":0.1632184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050945832865725,"score_gpt":0.2308527971222536,"score_spread":0.2103433387935963,"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."}}