{"id":"W2086578126","doi":"10.1016/j.jpowsour.2005.01.013","title":"Model for the contamination of fuel cell anode catalyst in the presence of fuel stream impurities","year":2005,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Innovation Council; National Research Council Canada","funders":"National Research Council Canada; Canada Research Chairs","keywords":"Contamination; Anode; Impurity; Transient (computer programming); Electrochemistry; Catalysis; Steady state (chemistry); Nuclear engineering; Materials science; Environmental science; Time constant; Chemical engineering; Waste management; Chemistry; Mechanics; Electrode; Engineering; Electrical engineering; Computer science; Physics; 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":[0.0004349187,0.00007734033,0.00017954,0.00006831214,0.00001894601,0.00002056535,0.0002447182,0.00005859862,0.00001207774],"category_scores_gemma":[0.00002278079,0.00004154951,0.00008453813,0.00005554635,0.00004854349,0.0001317524,0.00001282754,0.0001060595,4.05156e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640819,"about_ca_system_score_gemma":0.00001877906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001616714,"about_ca_topic_score_gemma":0.00002833618,"domain_scores_codex":[0.9992537,0.00002267661,0.0004099918,0.00003887426,0.0001723613,0.0001024087],"domain_scores_gemma":[0.999379,0.0002005129,0.0002156463,0.0001036467,0.00008562696,0.00001551733],"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":[0.00006544145,0.0001205021,0.0002086523,0.001157293,0.0000847776,0.000002392564,0.03431248,0.9383986,0.02394227,0.00008463929,0.001314628,0.000308347],"study_design_scores_gemma":[0.003464414,0.0005863333,0.003317667,0.0005624904,0.0003518245,0.00007335709,0.0260339,0.8009,0.1485584,0.002220778,0.01350421,0.0004266708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735275,0.02224608,0.001163287,0.0002207076,0.0002538325,0.0001673231,0.00002982779,0.00000599694,0.002385443],"genre_scores_gemma":[0.9974793,0.002010919,0.0003021414,0.00001253603,0.00006899956,0.000002539489,8.355582e-7,0.00001009037,0.0001126289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1374986,"threshold_uncertainty_score":0.169434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009282603366036885,"score_gpt":0.2109290915864815,"score_spread":0.2016464882204446,"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."}}