{"id":"W619361901","doi":"10.1016/j.ijheatmasstransfer.2015.05.116","title":"A unit-cell approach for determining the effective thermal conductivity of the polymer electrolyte membrane fuel cell microporous layer","year":2015,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Microporous material; Thermal conductivity; Electrolyte; Particle (ecology); Polymer; Membrane; Chemical engineering; Conductivity; Composite material; Electrode; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003426946,0.0006107792,0.000682621,0.000787493,0.0005193492,0.0006050535,0.001937847,0.0009269856,0.002119521],"category_scores_gemma":[0.000940986,0.000351552,0.0004809859,0.0004231528,0.0003060437,0.0009568016,0.0004039799,0.001386246,0.0009924797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008126121,"about_ca_system_score_gemma":0.0007901919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197325,"about_ca_topic_score_gemma":0.004104199,"domain_scores_codex":[0.9997723,0.00002793141,0.0000123201,0.00004112536,0.0001275981,0.00001874986],"domain_scores_gemma":[0.9997843,0.0001016711,0.00001033152,0.00002431585,0.00007366534,0.000005754825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009739149,0.0001418245,0.0008698683,0.0005725424,0.00008932698,0.0002061945,0.0001597163,0.05641115,0.8601848,0.02338948,0.0006911853,0.05718661],"study_design_scores_gemma":[0.00001150226,0.0001017813,0.0005881414,0.00002001558,0.00003755668,0.0001249488,0.00005291393,0.4298339,0.562947,0.001874241,0.004369519,0.00003844056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1586321,0.002351472,0.8257151,0.0001483743,0.0002029134,0.0004087087,0.0007806343,0.0006664722,0.01109426],"genre_scores_gemma":[0.7388688,0.002725721,0.2503566,0.0001649764,0.0000381992,0.0009410886,0.0005418285,0.0001696071,0.006193201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002119521,"threshold_uncertainty_score":0.007090449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273039727964348,"score_gpt":0.2155720447859517,"score_spread":0.2028416475063082,"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."}}