{"id":"W3180118515","doi":"10.32920/ryerson.14654799.v1","title":"Design of wastewater treatment plant and nutrients recovery","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sedimentation; Wastewater; Sewage treatment; Capital cost; Environmental science; Capital (architecture); Waste management; Primary treatment; Nutrient; Environmental engineering; Engineering; Medicine; Sediment; Chemistry; Geography","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":[0.0003342078,0.0006412596,0.0006678486,0.0003498322,0.0006413538,0.001030498,0.0007864307,0.001046294,0.004617999],"category_scores_gemma":[0.0002993442,0.0003190144,0.0005101244,0.0003583668,0.0002692057,0.0004469561,0.0004926731,0.0004141666,0.001158004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007831018,"about_ca_system_score_gemma":0.00192913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544905,"about_ca_topic_score_gemma":0.001572807,"domain_scores_codex":[0.9995013,0.00007764653,0.00002153597,0.0001323122,0.0001877515,0.00007929056],"domain_scores_gemma":[0.9998977,0.00001612342,0.00001862653,0.00001020422,0.00004182584,0.00001548284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007707078,0.0004266531,0.00309195,0.001820902,0.00007276904,0.0009550393,0.0001614678,0.5102955,0.3014252,0.01491948,0.004034843,0.1620255],"study_design_scores_gemma":[0.0002750297,0.002382938,0.008320829,0.0001005445,0.0001475371,0.001271352,0.0002721903,0.7550741,0.1699675,0.009061432,0.0530221,0.0001045287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1037758,0.0004636165,0.862478,0.0003834769,0.0001203813,0.00148127,0.0005525997,0.002290875,0.02845393],"genre_scores_gemma":[0.6987902,0.0004532858,0.2782575,0.0001311085,0.00003601463,0.001920707,0.0005365195,0.0001140804,0.01976053],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004617999,"threshold_uncertainty_score":0.01544869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458259661542725,"score_gpt":0.2118849964062505,"score_spread":0.1873023997908232,"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."}}