{"id":"W4400235814","doi":"10.11159/ffhmt24.001","title":"Evaluating Membrane Properties: An Insight into the Time-Lag Method and Influencing Factors","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lag; Time lag; Lag time; Computer science; Biological system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002949888,0.0002021145,0.0001739527,0.00007675018,0.0001970871,0.0003884298,0.0003528308,0.00007564906,0.0003254055],"category_scores_gemma":[0.00007680035,0.0001154869,0.00007608353,0.0001064535,0.0001001078,0.0003817861,0.00005262679,0.0003282496,0.000002638102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006471322,"about_ca_system_score_gemma":0.00008496095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009155658,"about_ca_topic_score_gemma":0.0000112141,"domain_scores_codex":[0.9987962,0.00001173977,0.0002931434,0.0003241368,0.0004110238,0.0001637025],"domain_scores_gemma":[0.9993965,0.0001092233,0.00002060726,0.00009049339,0.0003215463,0.00006161097],"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":[0.00007898986,0.00002517447,0.00009333703,0.0001585369,0.0001164554,2.2136e-7,0.00843238,0.00003106639,0.973271,0.01480741,0.00002979878,0.002955628],"study_design_scores_gemma":[0.0002162266,0.0001050064,0.00002426511,0.0005234602,0.00007990147,0.000009928245,0.001311496,0.1986238,0.7948176,0.003059421,0.001070691,0.0001582685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808892,0.0002226101,0.0001810329,0.002601679,0.0001476084,0.0001530871,0.0000216629,0.00004885023,0.01573424],"genre_scores_gemma":[0.9976854,0.0002039161,0.0004947282,0.0001663114,0.00008210334,0.00004641829,0.000006249802,0.00002327079,0.001291544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1985927,"threshold_uncertainty_score":0.4709419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066584060998103,"score_gpt":0.3073484112743121,"score_spread":0.266682570664331,"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."}}