{"id":"W2084455060","doi":"10.5004/dwt.2009.648","title":"Market and design considerations of the 37 larger MBR plants in Europe","year":2009,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sheridan College","funders":"European Commission","keywords":"Filtration (mathematics); Maturity (psychological); Environmental engineering; Energy demand; Environmental science; Engineering; Environmental economics; Economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100865,0.00005669684,0.00006023322,0.00002093457,0.0000565137,0.00001510849,0.00002438114,0.00002500464,0.000158551],"category_scores_gemma":[0.00001812722,0.00002985972,0.000006705511,0.00004899603,0.00005808007,0.00008673794,0.00001889485,0.00001865438,0.000009083549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627329,"about_ca_system_score_gemma":0.000002976249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002149195,"about_ca_topic_score_gemma":0.00002750559,"domain_scores_codex":[0.9995958,0.00006327545,0.0001025673,0.0001043904,0.00006544348,0.00006848756],"domain_scores_gemma":[0.9998468,0.00002779711,0.00002245259,0.00008505395,0.000004695889,0.00001324712],"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":[0.0002845384,0.002236522,0.3269065,0.00002816803,0.0001006382,0.00008053527,0.01698647,0.004538031,0.497411,0.01977827,0.01545714,0.1161921],"study_design_scores_gemma":[0.0008900621,0.0001815775,0.477604,0.000008651373,0.00001041568,0.000015555,0.00005597837,0.001732844,0.5119153,0.005017731,0.002473774,0.00009411832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939158,0.00003794532,0.00009656296,0.003195607,0.00001599801,0.0002619249,0.000003894926,0.0000183099,0.002453935],"genre_scores_gemma":[0.9983051,0.0001135786,0.0006322606,0.0001713509,0.000001625035,0.000008725329,0.000002901804,0.000001908549,0.0007625955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1506975,"threshold_uncertainty_score":0.1736022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401477506682311,"score_gpt":0.2376642021835396,"score_spread":0.2136494271167164,"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."}}