{"id":"W2554846022","doi":"10.1115/icnmm2016-7974","title":"Porous Transport Layer Related Mass Transport Losses in Polymer Electrolyte Membrane Electrolysis: A Review","year":2016,"lang":"en","type":"review","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electrolyte; Electrolysis; Polymer electrolyte membrane electrolysis; Oxygen transport; Materials science; Chemical engineering; Mass transport; Porosity; Electrolysis of water; Proton exchange membrane fuel cell; Polymer; Electrochemistry; Oxygen; Electrode; Chemistry; Composite material; Fuel cells; Engineering physics; Engineering","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006130944,0.001308795,0.004795744,0.0004969943,0.00004109923,0.00001943462,0.0005862357,0.001320507,0.004349512],"category_scores_gemma":[0.000006825231,0.000859783,0.001133774,0.001065804,0.00005085554,0.0001868816,0.000008687996,0.0009956466,0.0007037385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214407,"about_ca_system_score_gemma":0.0002319788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004119626,"about_ca_topic_score_gemma":0.00002428195,"domain_scores_codex":[0.9948159,0.0001488358,0.002595614,0.0008223019,0.000411991,0.001205368],"domain_scores_gemma":[0.9985942,0.00008443532,0.0002773105,0.0007884188,0.0000409596,0.0002146335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004210556,0.0001688476,0.000002879377,0.7371064,0.003882437,0.001662986,0.0000477453,0.00005668334,0.003478232,0.000199718,0.001518445,0.2518335],"study_design_scores_gemma":[0.0005105429,0.00005137164,4.716809e-7,0.08769744,0.002555995,0.0002312323,7.482972e-7,0.000005393931,0.001399674,0.00002932535,0.9062201,0.001297664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007675069,0.9641326,0.00002630725,0.00006403047,0.0004821905,0.001427254,0.00007869076,0.000753645,0.03302762],"genre_scores_gemma":[0.0001342327,0.9915107,0.00003724258,0.00009111611,0.0001231015,0.000331731,0.0003509381,0.0004047742,0.007016188],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9047017,"threshold_uncertainty_score":0.999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089728191954865,"score_gpt":0.2390769602360493,"score_spread":0.2281796783165006,"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."}}