{"id":"W2913278212","doi":"10.1038/s41598-018-38464-9","title":"Four-dimensional joint visualization of electrode degradation and liquid water distribution inside operating polymer electrolyte fuel cells","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ballard Power Systems (Canada); Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ballard Power Systems","keywords":"Electrolyte; Electrode; Degradation (telecommunications); Polymer; Visualization; Joint (building); Computer science; Fuel cells; Materials science; Chemical engineering; Chemistry; Composite material; Data mining; Engineering; Telecommunications","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":[0.0001075797,0.0002305195,0.0001104256,0.0005125192,0.0001282129,0.0004084323,0.0002538938,0.0003694517,0.0008295407],"category_scores_gemma":[0.0001896326,0.0001651813,0.00009242228,0.0002214299,0.0002417792,0.0003311466,0.000281862,0.0003156328,0.0001095882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001873444,"about_ca_system_score_gemma":0.0002190305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000755981,"about_ca_topic_score_gemma":0.0008370788,"domain_scores_codex":[0.9999274,0.000008706241,0.000004184134,0.00001384448,0.00003006905,0.0000158184],"domain_scores_gemma":[0.9998726,0.00003985388,0.00003070648,0.00001228691,0.00002880731,0.00001565497],"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":[0.00004509589,0.000009647095,0.0005337225,0.00002132978,0.000002585144,0.0001101186,0.0000395735,0.0006455035,0.9957967,0.0001269431,0.00003374754,0.002635001],"study_design_scores_gemma":[0.000008059978,0.0000800986,0.006629008,0.000006514097,0.000008328409,0.00041097,0.00007295425,0.0137164,0.9780756,0.0001198536,0.0008576881,0.00001467198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671617,0.0004210953,0.03044261,0.0000968631,0.00001144523,0.00002869194,0.0002334834,0.0002584883,0.001345737],"genre_scores_gemma":[0.9609727,0.0003452015,0.03718755,0.00002580064,0.000008385465,0.00003461299,0.0001307465,0.00003376653,0.001261367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008295407,"threshold_uncertainty_score":0.002775133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006451353573788853,"score_gpt":0.1915613487531931,"score_spread":0.1851099951794042,"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."}}