{"id":"W4399166741","doi":"10.2139/ssrn.4849146","title":"Real-Time Non-Destructive Monitoring of Supported Liquid Membranes Using Electrochemical Impedance Spectroscopy","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Dielectric spectroscopy; Membrane; Electrical impedance; Materials science; Electrochemistry; Spectroscopy; Analytical Chemistry (journal); Chemical engineering; Chemistry; Engineering; Chromatography; Electrode; Electrical engineering; Physics; Physical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004777195,0.0004924214,0.0004926656,0.0003006565,0.0001560481,0.0009963978,0.0009487176,0.001081862,0.0009703306],"category_scores_gemma":[0.001312623,0.0002511734,0.0002785675,0.000478378,0.0003354249,0.001132604,0.0005084525,0.0008887995,0.0007236286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002865425,"about_ca_system_score_gemma":0.0001527105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001321929,"about_ca_topic_score_gemma":0.0002131861,"domain_scores_codex":[0.9989786,0.0001471727,0.0000449033,0.000186435,0.0005803188,0.00006255414],"domain_scores_gemma":[0.9994772,0.00023608,0.00009414915,0.00006591201,0.0001016836,0.00002511055],"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":[0.00008618363,0.00002292013,0.000150969,0.00005373017,0.000008243302,0.00003671936,0.00002925611,0.0001591959,0.991213,0.000118647,0.00008359874,0.008037539],"study_design_scores_gemma":[0.00001118708,0.00008827963,0.0006404931,0.000005146382,0.000009891712,0.00009419669,0.00002131365,0.009078136,0.9891133,0.0001993235,0.0007281014,0.00001054897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7858435,0.003087166,0.2048562,0.0006876981,0.0003992572,0.00009149971,0.0009291471,0.001326207,0.002779288],"genre_scores_gemma":[0.9594484,0.001349367,0.03601558,0.0001477707,0.0000935087,0.00005970066,0.0002806349,0.00006095298,0.002544023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081862,"threshold_uncertainty_score":0.003246069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008789502549231092,"score_gpt":0.2670072404666096,"score_spread":0.2582177379173785,"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."}}