{"id":"W2129512768","doi":"10.1149/06403.0547ecst","title":"Polymer Electrolyte Membrane Fuel Cells: Characterization and Diagnostics","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proton exchange membrane fuel cell; Electrolyte; Characterization (materials science); Materials science; Membrane; Polymer; Degradation (telecommunications); Electrode; In situ; Fuel cells; Chemical engineering; Composite material; Nanotechnology; Chemistry; Electronic engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003946584,0.0003743951,0.0003327708,0.000545465,0.0003021473,0.0005297271,0.0005031284,0.0005491815,0.0009476168],"category_scores_gemma":[0.0005455844,0.0001448785,0.0001050923,0.0004712204,0.0002980789,0.0006023489,0.0002042571,0.0004520816,0.0004447404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233816,"about_ca_system_score_gemma":0.000269052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006047716,"about_ca_topic_score_gemma":0.0006058346,"domain_scores_codex":[0.9996644,0.00002910787,0.0000176768,0.00006633073,0.0001948108,0.00002768274],"domain_scores_gemma":[0.9997191,0.00006353157,0.00004146999,0.00003259471,0.0001238109,0.00001952674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000281007,0.00002357644,0.001006249,0.00006164448,0.000002890871,0.00004420524,0.00003849066,0.0003869692,0.9900377,0.0001468777,0.0001347995,0.008088678],"study_design_scores_gemma":[0.000001532178,0.00004143654,0.001682469,0.000002798417,0.000001866336,0.0001151319,0.00001800336,0.0017981,0.9946039,0.000105809,0.001625039,0.000003831664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8692647,0.002933989,0.1197329,0.0003508332,0.0000392338,0.000162337,0.001823114,0.0006936951,0.004999189],"genre_scores_gemma":[0.9572132,0.00153373,0.0369968,0.00008109272,0.00002628824,0.0001167227,0.0008518571,0.00006062996,0.003119753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009476168,"threshold_uncertainty_score":0.003170133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002942355812793367,"score_gpt":0.1580304380307861,"score_spread":0.1550880822179927,"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."}}