{"id":"W2008087405","doi":"10.1115/fuelcell2014-6522","title":"Accelerated Degradation for Hardware in the Loop Simulation of Fuel Cell-Gas Turbine Hybrid","year":2014,"lang":"en","type":"article","venue":"","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Energy Technology Laboratory; Georgia Institute of Technology; U.S. Department of Energy","keywords":"Degradation (telecommunications); Solid oxide fuel cell; Turbine; Commercialization; Process engineering; Automotive engineering; Computer science; Engineering; Electrical engineering; Mechanical engineering; Electrolyte; Chemistry","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":[0.0003442588,0.0004769842,0.0004540659,0.0003086716,0.0003348071,0.0005670759,0.0005949291,0.0007323477,0.002212856],"category_scores_gemma":[0.001072184,0.0002036554,0.0005410371,0.000260572,0.0004331236,0.0003366442,0.0004129018,0.0006012213,0.0001680796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006541671,"about_ca_system_score_gemma":0.0006602936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009313043,"about_ca_topic_score_gemma":0.005124864,"domain_scores_codex":[0.9998773,0.00003528606,0.000006431673,0.00001905062,0.00003922923,0.00002268996],"domain_scores_gemma":[0.9995627,0.0002634886,0.00003179169,0.00003124538,0.00008545163,0.00002536627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004669385,0.00004500708,0.001079769,0.00002330545,0.000007931458,0.00003991195,0.00003824239,0.9938819,0.002478107,0.0006483717,0.0001379256,0.001572801],"study_design_scores_gemma":[0.000003700445,0.00000923407,0.00008726453,9.239209e-7,0.000001031798,0.000001969184,0.000003555321,0.9992819,0.0004635486,0.00006710659,0.00007870524,0.00000113514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813239,0.0001940974,0.1041299,0.0002321385,0.00007033216,0.0001272543,0.0007889184,0.001205789,0.01192773],"genre_scores_gemma":[0.9808903,0.00007344481,0.0163993,0.00002598904,0.00000562469,0.0001272753,0.0003879621,0.00007760493,0.002012527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009313043,"threshold_uncertainty_score":0.01851767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601506701781539,"score_gpt":0.3000911291185407,"score_spread":0.2640760621007253,"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."}}