{"id":"W4399753955","doi":"10.1007/978-3-031-63357-7_18","title":"Towards a Unified Framework for Modelling of Bipolar Membrane Electrodialysis for Resource Recovery Processes","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Electrodialysis; Resource recovery; Resource (disambiguation); Computer science; Membrane; Materials science; Process engineering; Chemistry; Engineering; 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":[0.001002235,0.001429959,0.002199904,0.0007313312,0.000792981,0.003270783,0.003896547,0.003438221,0.00296271],"category_scores_gemma":[0.001590132,0.001087645,0.002349701,0.0009162665,0.001269044,0.001998211,0.001842144,0.002645047,0.001220869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535669,"about_ca_system_score_gemma":0.002189639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01502354,"about_ca_topic_score_gemma":0.01058874,"domain_scores_codex":[0.999569,0.0001213376,0.00004467757,0.00006492215,0.0001507467,0.00004928712],"domain_scores_gemma":[0.9995506,0.000194674,0.00003473329,0.00005054723,0.0001400382,0.00002947202],"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":[0.00002725871,0.00004279067,0.0001532966,0.0001604116,0.00004978539,0.00008904353,0.0001028534,0.9020717,0.004353918,0.0833754,0.0008510603,0.008722547],"study_design_scores_gemma":[0.000007333947,0.000006710621,0.00002980609,0.00001487434,0.000010279,0.00001156529,0.00001108898,0.9825001,0.0004332619,0.01365937,0.003307648,0.000007938045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003558502,0.0007294378,0.9890395,0.0002049906,0.00008689414,0.00006350179,0.0001838676,0.0003291071,0.005804273],"genre_scores_gemma":[0.2456595,0.003791336,0.7299232,0.0004094574,0.0002360433,0.00111294,0.001001281,0.0009624787,0.01690368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01502354,"threshold_uncertainty_score":0.02987218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196947491613409,"score_gpt":0.2340539143746007,"score_spread":0.2143591652132598,"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."}}