{"id":"W2049126737","doi":"10.1016/j.jpowsour.2015.01.078","title":"Impact of polymer electrolyte membrane fuel cell microporous layer nano-scale features on thermal conductance","year":2015,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microporous material; Electrolyte; Nano-; Materials science; Membrane; Polymer; Chemical engineering; Layer (electronics); Fuel cells; Proton exchange membrane fuel cell; Composite material; Chemistry; Electrode; Engineering; Physical 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":[],"consensus_categories":[],"category_scores_codex":[0.0002111772,0.0001933289,0.0003840119,0.0001201243,0.00001950562,0.00003705747,0.0002060927,0.0001480183,0.0001909638],"category_scores_gemma":[0.000007709254,0.0001248326,0.0002104489,0.0000940872,0.00004361886,0.0001157024,0.00001369207,0.0002768973,0.00001918386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005227993,"about_ca_system_score_gemma":0.00005211547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002365672,"about_ca_topic_score_gemma":0.000001304312,"domain_scores_codex":[0.9989725,0.00004117726,0.000385812,0.00008363792,0.0002594142,0.0002574156],"domain_scores_gemma":[0.9993376,0.00002914015,0.0002494481,0.0001407729,0.0001030694,0.0001400007],"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":[0.0002341033,0.00007631949,0.0002335546,0.00009447146,0.0001645149,0.00003173706,0.001617867,0.01092335,0.9835858,0.00000155308,0.003013939,0.00002278002],"study_design_scores_gemma":[0.00103652,0.0007742313,0.0007140134,0.00006340149,0.00005110955,0.0001527231,0.0001472526,0.0000229556,0.9947473,0.00002506854,0.002087655,0.0001778115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525682,0.03182212,0.000003912715,0.00003204659,0.0007478063,0.00004628092,0.000010287,0.00002277487,0.01474657],"genre_scores_gemma":[0.9984747,0.0005583807,0.0001041815,0.00003640085,0.0001983491,3.774217e-7,7.819143e-7,0.00004149844,0.0005853109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04590652,"threshold_uncertainty_score":0.5090525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007511491765226194,"score_gpt":0.2184334327819726,"score_spread":0.2109219410167464,"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."}}