{"id":"W2972462512","doi":"10.1002/admi.201901157","title":"Graded Microporous Layers for Enhanced Capillary‐Driven Liquid Water Removal in Polymer Electrolyte Membrane Fuel Cells","year":2019,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Energy Training; University of Toronto","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Materials science; Microporous material; Electrolyte; Proton exchange membrane fuel cell; Chemical engineering; Capillary action; Water transport; Membrane; Cathode; Wetting; Polymer; Layer (electronics); Electrochemistry; Composite material; Fuel cells; Electrode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008143223,0.0002609897,0.000152832,0.0002264337,0.0001006692,0.000253082,0.0003412939,0.0002733592,0.0003264591],"category_scores_gemma":[0.0001757218,0.0001462008,0.0001497467,0.0001039283,0.0001608998,0.0002729316,0.0001834343,0.0002126617,0.0001341561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003767291,"about_ca_system_score_gemma":0.0001161373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007744026,"about_ca_topic_score_gemma":0.001754805,"domain_scores_codex":[0.9999369,0.000004653205,0.000004213176,0.0000154512,0.00002523957,0.00001347263],"domain_scores_gemma":[0.9998999,0.00001809108,0.00003783439,0.000009259769,0.00001859437,0.00001635751],"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":[0.00001157784,0.000008760268,0.00006898218,0.00002258593,0.000003361918,0.00002325715,0.000005675663,0.0001827376,0.9985132,0.00005484177,0.00002011975,0.00108507],"study_design_scores_gemma":[0.000007302839,0.00006083856,0.0005725096,0.000002234947,0.000006849373,0.00004208682,0.000006632021,0.001741761,0.9969437,0.00001892992,0.0005913731,0.000005839223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877754,0.0008175609,0.01018854,0.00004483518,0.00002009804,0.00002672267,0.0001627923,0.000216126,0.0007478851],"genre_scores_gemma":[0.99212,0.0002269454,0.007077228,0.00002161469,0.000005499382,0.00001714519,0.00004800136,0.00001032925,0.000473329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007744026,"threshold_uncertainty_score":0.002733409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003485459379301085,"score_gpt":0.194082187906771,"score_spread":0.1905967285274699,"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."}}