{"id":"W3178047631","doi":"10.1002/aenm.202100630","title":"Porous Transport Layers for Proton Exchange Membrane Electrolysis Under Extreme Conditions of Current Density, Temperature, and Pressure","year":2021,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Electrolysis; Porosity; Proton exchange membrane fuel cell; Bar (unit); Electrolysis of water; Current density; Hydrogen; Water transport; Chemical engineering; Water flow; Analytical Chemistry (journal); Composite material; Environmental engineering; Fuel cells; Chemistry; Environmental science; Electrode; Environmental chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002054068,0.0003623546,0.000811469,0.0001272925,0.0001405675,0.00004088404,0.0001591164,0.0001768642,0.0003404753],"category_scores_gemma":[0.00003412981,0.0003513688,0.0001260871,0.0002535031,0.00008201076,0.0002385863,0.00004655283,0.0000646667,0.000001287814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004588072,"about_ca_system_score_gemma":0.0001217382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008335666,"about_ca_topic_score_gemma":0.001636903,"domain_scores_codex":[0.9977562,0.0001996188,0.0006644169,0.000615348,0.0002825766,0.0004818257],"domain_scores_gemma":[0.9986799,0.00008831767,0.0002846062,0.0005003618,0.0003128666,0.000133984],"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":[0.0001574547,0.0001109508,0.00002842548,0.0009400882,0.0002772919,0.0000180677,0.00005948598,0.02368189,0.9542562,0.01971702,0.00006300845,0.0006901583],"study_design_scores_gemma":[0.001297886,0.00007450196,0.0001142128,0.0001385018,0.0001781299,0.00005168931,0.00004731757,0.00002588963,0.9183785,0.001824547,0.07752319,0.0003456152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877144,0.006959864,0.001760229,0.0001061715,0.001325928,0.0006368644,0.0006085517,0.0001903532,0.00069761],"genre_scores_gemma":[0.9921765,0.001512981,0.0004633205,0.00009121598,0.0002855186,0.0009922333,0.00106429,0.00009306099,0.003320867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07746018,"threshold_uncertainty_score":0.9998938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870631988490274,"score_gpt":0.2572433592642419,"score_spread":0.2385370393793392,"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."}}