{"id":"W4303520717","doi":"10.1016/j.memsci.2022.121074","title":"On the limitation of the time-lag method for characterizing mixed-matrix membranes embedding filler particles of different permeability","year":2022,"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":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Membrane; Permeability (electromagnetism); Lag time; Lag; Filler (materials); Embedding; Matrix (chemical analysis); Materials science; Time lag; Composite material; Chemical engineering; Chemistry; Biological system; Computer science; Engineering","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":[0.004068489,0.0009089135,0.000518198,0.0009005424,0.0006301518,0.001288773,0.001304887,0.001244373,0.002024631],"category_scores_gemma":[0.003897703,0.0003621456,0.0004620728,0.0006944706,0.0007576311,0.00214203,0.0007725835,0.001601493,0.001033569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006729061,"about_ca_system_score_gemma":0.00110765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766284,"about_ca_topic_score_gemma":0.003332899,"domain_scores_codex":[0.998357,0.0004153892,0.00009519322,0.0004739357,0.0005437697,0.0001146383],"domain_scores_gemma":[0.9938079,0.004095155,0.0003634622,0.0006382003,0.0009807174,0.0001145883],"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":[0.0001219648,0.00004653372,0.0007237852,0.0002020026,0.00001913322,0.00006247999,0.0001164076,0.0003277597,0.98215,0.001978572,0.0001836883,0.01406763],"study_design_scores_gemma":[0.000007067727,0.0001912055,0.001201889,0.00002770156,0.00004081207,0.0002480985,0.00008686422,0.01515992,0.977788,0.001027512,0.004189581,0.0000312249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2461847,0.01231494,0.7338833,0.001066572,0.0006235598,0.0002359511,0.0004317044,0.0006522382,0.004607079],"genre_scores_gemma":[0.7162392,0.00748594,0.2670915,0.0008021355,0.0001551843,0.0003101634,0.000377178,0.0002289896,0.007309641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004068489,"threshold_uncertainty_score":0.0215165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897928459639847,"score_gpt":0.2826453634970384,"score_spread":0.26366607890064,"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."}}