{"id":"W4404068380","doi":"10.1002/adfm.202410262","title":"Integrated‐Channel Porous Transport Layers Reduce Ohmic and Mass Transport Losses in Polymer Electrolyte Membrane Electrolyzers","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Western Economic Diversification Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Research Council Canada; Canada Foundation for Innovation; Canadian Light Source","keywords":"Materials science; Electrolyte; Mass transport; Ohmic contact; Porosity; Polymer; Membrane; Water transport; Channel (broadcasting); Chemical engineering; Mass transfer; Polymer electrolytes; Nanotechnology; Composite material; Chromatography; Layer (electronics); Electrode; Engineering physics; Environmental engineering; Electrical engineering; Water flow; 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":[0.0002191464,0.0004114339,0.0004961084,0.0002748999,0.00005537022,0.00005988366,0.00009967769,0.0002505496,0.0006901525],"category_scores_gemma":[0.000005161342,0.0003697166,0.00007120399,0.000334643,0.00006453204,0.0003851097,0.000005132737,0.0002547161,0.0000513325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001175603,"about_ca_system_score_gemma":0.00006933444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006696395,"about_ca_topic_score_gemma":0.00001524769,"domain_scores_codex":[0.9981263,0.00003361894,0.0005956845,0.0004753927,0.0002090937,0.0005598662],"domain_scores_gemma":[0.9996202,0.000050888,0.0000373883,0.0001567615,0.00002893614,0.0001057982],"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":[0.0003821569,0.00001976891,0.00001041858,0.0008546097,0.000131905,0.0001393178,0.0000915872,0.01381441,0.9839761,0.0002019113,0.00006156717,0.0003162927],"study_design_scores_gemma":[0.0007220816,0.000103183,0.0002528166,0.0002256996,0.00006755591,0.0001198421,0.00005244642,0.0004765181,0.9938156,0.0008605223,0.002836087,0.0004676252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728455,0.02044727,0.0006591254,0.0001475909,0.003246801,0.0003611192,0.0002154834,0.0006720526,0.001405085],"genre_scores_gemma":[0.9908711,0.007377526,0.0001604733,0.00006196379,0.0002143141,0.0001174023,0.0002753469,0.0001223221,0.0007995904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01802559,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005561752739920673,"score_gpt":0.1913669968621709,"score_spread":0.1858052441222502,"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."}}