{"id":"W7112230282","doi":"","title":"Scale-up of electrodialysis with bipolar membrane (EDBM) unit for valorisation of wastebrine by experimental analysis","year":2022,"lang":"en","type":"book-chapter","venue":"Nova Science Publishers (Nova Science Publishers, Inc.)","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"European Commission","keywords":"Electrodialysis; Valorisation; Brine; Membrane; Membrane technology; Nanofiltration","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":[0.0001709852,0.0003933869,0.0003527724,0.000296384,0.0002565288,0.0005396586,0.0006893537,0.00039126,0.00199568],"category_scores_gemma":[0.0001642511,0.0001743665,0.0004286187,0.0004604615,0.000178759,0.0005750997,0.0004581406,0.0006671135,0.001802612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374938,"about_ca_system_score_gemma":0.0002845909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000689372,"about_ca_topic_score_gemma":0.001306082,"domain_scores_codex":[0.9998856,0.000009751998,0.000007875132,0.00002981093,0.00005574187,0.00001123491],"domain_scores_gemma":[0.9999429,0.00001588677,0.000004793581,0.00001118299,0.00001693106,0.000008373879],"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":[0.00003896542,0.00005209378,0.00005258037,0.0001346797,0.000005402519,0.00004693434,0.00001893583,0.0002831308,0.9797645,0.0003620783,0.0003036203,0.01893712],"study_design_scores_gemma":[0.00001030846,0.0001317972,0.0004714186,0.00002012794,0.00001273315,0.0001270916,0.00001638867,0.001018133,0.987299,0.0002663791,0.01061813,0.000008458213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6775628,0.01732681,0.2434956,0.001220104,0.0005417729,0.0007890999,0.004310853,0.00188805,0.05286488],"genre_scores_gemma":[0.7190539,0.01598048,0.214937,0.0003285787,0.00005935489,0.0005650087,0.004810049,0.0003834706,0.04388221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00199568,"threshold_uncertainty_score":0.006676197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459069520426526,"score_gpt":0.2653096091234731,"score_spread":0.2407189139192078,"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."}}