{"id":"W4406771867","doi":"10.1016/j.memsci.2025.123741","title":"Direct determination of permeability, diffusivity and solubility of gases in membrane based on simultaneous monitoring of pressure rise and decay in a single time-lag experiment","year":2025,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal diffusivity; Time lag; Solubility; Lag; Lag time; Membrane; Permeability (electromagnetism); Analytical Chemistry (journal); Chemistry; Membrane permeability; Diffusion; Materials science; Thermodynamics; Chromatography; Physical chemistry; Biological system; Physics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009205991,0.0007069302,0.0005843886,0.0005671689,0.0003098829,0.0005640505,0.0005206401,0.000775377,0.0007567555],"category_scores_gemma":[0.001757349,0.0003519266,0.0004235047,0.0004832697,0.0006480078,0.001549778,0.0007959263,0.001505381,0.0003361495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365376,"about_ca_system_score_gemma":0.0005843783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005759016,"about_ca_topic_score_gemma":0.0006537716,"domain_scores_codex":[0.9992384,0.00009167024,0.00004311895,0.0002633795,0.0002756849,0.00008779176],"domain_scores_gemma":[0.9988731,0.0004858732,0.0002095998,0.0001270649,0.0002412787,0.00006313862],"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":[0.00004259785,0.000016472,0.0002086121,0.00006681665,0.000004020431,0.00002759167,0.0000309058,0.0001283676,0.9953784,0.000204191,0.0000379549,0.003854114],"study_design_scores_gemma":[0.000003242408,0.00007701196,0.0005874108,0.000003613382,0.000006049879,0.00005440085,0.0000217936,0.003587713,0.9951521,0.0001138426,0.0003815538,0.00001128149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5809819,0.002392875,0.4120487,0.0002922568,0.0002458656,0.0002602977,0.0006532263,0.0009936786,0.002131322],"genre_scores_gemma":[0.8657268,0.002941683,0.1279196,0.0001293232,0.00006622038,0.000435214,0.0003234397,0.0001135754,0.002344078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009205991,"threshold_uncertainty_score":0.004868627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049709912593278,"score_gpt":0.2646828203291435,"score_spread":0.2541857212032107,"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."}}