{"id":"W4365509633","doi":"10.1002/adfm.202213326","title":"Aquaporin‐Based Biomimetic Membranes for Low Energy Water Desalination and Separation Applications","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Desalination; Membrane; Forward osmosis; Nanofiltration; Fouling; Materials science; Reverse osmosis; Nanotechnology; Portable water purification; Water treatment; Process engineering; Thin-film composite membrane; Aquaporin; Biochemical engineering; Environmental science; Environmental engineering; Engineering; Chemistry","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":[0.0002159838,0.0001280462,0.0001309262,0.0001012084,0.0002106448,0.00004508303,0.00008032667,0.00008151635,0.0007538938],"category_scores_gemma":[0.00004162577,0.000106136,0.00002603403,0.0002124787,0.0001036515,0.0002895756,0.00005067925,0.00001941428,0.0004372131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005243058,"about_ca_system_score_gemma":0.000006724958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001363318,"about_ca_topic_score_gemma":0.00000991152,"domain_scores_codex":[0.9990196,0.00002837605,0.0002481779,0.0003304399,0.0001736717,0.0001997666],"domain_scores_gemma":[0.9995809,0.0001075935,0.00007531491,0.0001759008,0.0000250249,0.00003529514],"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":[0.0000694107,0.00002007898,0.00003545545,0.00004195639,0.000005756875,2.228403e-7,0.00001250826,0.01184264,0.9811825,0.002791972,0.000389179,0.00360835],"study_design_scores_gemma":[0.0004392899,0.00005001359,0.0009967074,0.000004417067,0.00001056662,0.000001664665,0.00001850258,0.001758978,0.9592192,0.01342164,0.02393536,0.0001436239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8639109,0.00002971322,0.1321798,0.001191542,0.0004983167,0.0009776759,0.00008986627,0.0007214492,0.0004007067],"genre_scores_gemma":[0.9932755,0.00004216923,0.002722991,0.0001694509,0.00006404304,0.001663997,0.0008880123,0.00001965429,0.001154192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1294568,"threshold_uncertainty_score":0.8254609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549940740684891,"score_gpt":0.2622894552911427,"score_spread":0.2467900478842938,"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."}}