{"id":"W2803350058","doi":"10.1016/j.ijhydene.2018.05.017","title":"Transient, spatially resolved desaturation of gas diffusion layers measured via synchrotron visualization","year":2018,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; National Science Council; National Research Council Canada; Canada Foundation for Innovation; Canadian Institutes of Health Research; Montana State University; University of Saskatchewan; National Science Foundation","keywords":"Synchrotron; Diffusion; Convection; Gaseous diffusion; Chemistry; Saturation (graph theory); Volumetric flow rate; Transient (computer programming); Analytical Chemistry (journal); Mechanics; Thermodynamics; Chromatography; Optics","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":[0.0003088024,0.0001267647,0.0001756258,0.0002011142,0.00005580967,0.00002359236,0.0005093047,0.00009754115,0.0007463213],"category_scores_gemma":[0.0001294834,0.0001114592,0.0001110444,0.000205231,0.0002078285,0.0004057863,0.00007263941,0.00007625444,0.00002060403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067124,"about_ca_system_score_gemma":0.00003306508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002528055,"about_ca_topic_score_gemma":0.000411547,"domain_scores_codex":[0.9979895,0.00009102516,0.0006287865,0.0001608736,0.0009960611,0.0001337419],"domain_scores_gemma":[0.9988403,0.00003331385,0.0006621087,0.000146037,0.0002595488,0.00005864945],"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":[0.0002617742,0.0001197867,0.00129214,0.000002093862,0.00007586993,0.00001112368,0.000290046,0.00596286,0.9692104,0.0006021266,0.0004031296,0.0217686],"study_design_scores_gemma":[0.0007272098,0.0004018928,0.001642595,0.00004133543,0.00002692165,0.00008437003,0.00003415886,0.02112687,0.9679121,0.001383511,0.006489605,0.0001294758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8781982,0.00004839485,0.1196277,0.0003395293,0.0004565171,0.00005819892,0.000003268435,0.00002644798,0.001241728],"genre_scores_gemma":[0.9981251,0.0000834575,0.001399894,0.0001050694,0.0001757413,0.000002461462,0.00001408067,0.00001422147,0.0000799268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199269,"threshold_uncertainty_score":0.8171695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205682660879886,"score_gpt":0.2548634240737161,"score_spread":0.2428065974649172,"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."}}