{"id":"W4402748196","doi":"10.1016/j.memsci.2024.123360","title":"Real-time non-destructive monitoring of supported liquid membranes using electrochemical impedance spectroscopy","year":2024,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric spectroscopy; Membrane; Electrical impedance; Electrochemistry; Materials science; Analytical Chemistry (journal); Spectroscopy; Chemical engineering; Chemistry; Chromatography; Engineering; Electrode; Electrical engineering; Physics; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006537334,0.0002028455,0.0004559546,0.0002041815,0.00007243238,0.00005478515,0.0005460413,0.0001015001,0.0001075342],"category_scores_gemma":[0.0003463736,0.0001701167,0.0002126823,0.001074198,0.0004315761,0.0005290366,0.00005849204,0.0005365353,0.000007071134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398025,"about_ca_system_score_gemma":0.0004325198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006761377,"about_ca_topic_score_gemma":3.427419e-8,"domain_scores_codex":[0.9977141,0.00001396665,0.000672856,0.0002971903,0.0008269465,0.0004749102],"domain_scores_gemma":[0.9987849,0.0002224064,0.0002237748,0.0001975249,0.0002964443,0.0002749313],"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":[0.0001405235,0.00002404298,0.00004042761,0.0002226167,0.00004317115,0.00007564264,0.000166324,0.0008500751,0.9983366,0.00007542176,0.000002806576,0.00002236529],"study_design_scores_gemma":[0.0001723769,0.0001172705,0.00002750815,0.0004070613,0.00007789017,0.0004038734,0.00009876936,0.03831368,0.9600945,0.0001172902,0.000007446264,0.0001623085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997043,0.0001585738,0.001158285,0.00007303181,0.0002066264,0.00004150376,0.000002393433,0.00003586305,0.00128077],"genre_scores_gemma":[0.990141,0.0001665831,0.009063425,0.000003083411,0.0004953667,3.755217e-7,3.845021e-7,0.00002196599,0.0001077725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03824205,"threshold_uncertainty_score":0.6937159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074781137585396,"score_gpt":0.2832614972769609,"score_spread":0.2725136859011069,"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."}}