{"id":"W4236157080","doi":"10.1016/s0958-2118(18)30237-4","title":"Packaged MBR treats wastewater for community in Canada","year":2018,"lang":"en","type":"article","venue":"Membrane Technology","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Waste management; Environmental science; Engineering; Business","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":[0.0003887205,0.0004322557,0.0003075771,0.0009395526,0.002629476,0.001201096,0.001078677,0.0005188084,0.00595923],"category_scores_gemma":[0.000500477,0.0003051141,0.0004677697,0.001232988,0.000515822,0.0003863996,0.0007416359,0.0008287189,0.0009937581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02419197,"about_ca_system_score_gemma":0.04724675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9658152,"about_ca_topic_score_gemma":0.9871805,"domain_scores_codex":[0.9992725,0.00003283193,0.00001422538,0.0001019127,0.000409049,0.0001694554],"domain_scores_gemma":[0.9993375,0.00001736002,0.00002156035,0.00001754854,0.0005285096,0.00007758636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005861211,0.0007617758,0.03782787,0.001197438,0.0001552577,0.001539796,0.001209569,0.005300715,0.5041996,0.006524015,0.0434923,0.3972056],"study_design_scores_gemma":[0.0002476929,0.001089648,0.1508253,0.0003663678,0.000232807,0.0009314328,0.003286777,0.01192271,0.322809,0.0007416903,0.5073697,0.0001768878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880078,0.005777507,0.02131541,0.005495875,0.0002615681,0.001147119,0.009745522,0.002741727,0.07343747],"genre_scores_gemma":[0.8508638,0.005059273,0.03792548,0.001542714,0.00002377845,0.0001436215,0.004469661,0.0003052586,0.09966643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03418481,"threshold_uncertainty_score":0.1755258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545479283929649,"score_gpt":0.2291710547172348,"score_spread":0.2137162618779383,"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."}}