{"id":"W1875906646","doi":"10.4271/2010-01-1214","title":"Spatially-Resolved Thermal Degradation Induced Temperature Pattern Changes along a Commercial Lean NOX Trap Catalyst","year":2010,"lang":"en","type":"article","venue":"SAE international journal of fuels and lubricants","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Cummins Incorporated","keywords":"NOx; Trap (plumbing); Degradation (telecommunications); Environmental science; Catalysis; Thermal; Materials science; Waste management; Nuclear engineering; Combustion; Chemistry; Environmental engineering; Thermodynamics; Physics; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008774452,0.0001842361,0.0002829212,0.0001881268,0.0001283769,0.0003614958,0.0009015914,0.0001030712,0.0003046965],"category_scores_gemma":[0.0002447394,0.0001447224,0.00006014705,0.0001187876,0.0001818151,0.0005548117,0.0001627354,0.0003121179,0.00001573489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004453694,"about_ca_system_score_gemma":0.0001800331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004000075,"about_ca_topic_score_gemma":0.001811865,"domain_scores_codex":[0.9981516,0.00004318629,0.0004982647,0.000255589,0.000802564,0.0002487793],"domain_scores_gemma":[0.9984521,0.0001037895,0.0005854748,0.0001734432,0.000531217,0.0001539317],"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":[0.00007635255,0.00006470796,0.002980025,0.00001130729,0.00002145119,0.00005664063,0.0005206005,0.000003040527,0.9576422,0.00004478265,0.00009514774,0.03848374],"study_design_scores_gemma":[0.001145285,0.000188068,0.1007313,0.0001245129,0.00003852158,0.0008248724,0.0001612631,0.00005654156,0.8955857,0.000259596,0.0006031642,0.0002811392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934317,0.00005721838,0.0001970908,0.001969697,0.004046686,0.00009822928,0.00007428815,0.00001711977,0.0001079092],"genre_scores_gemma":[0.997827,0.00003963953,0.0004848453,0.0004778742,0.001105217,0.00000419341,0.00001447534,0.00001566724,0.00003107748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09775127,"threshold_uncertainty_score":0.590161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741199461687363,"score_gpt":0.2724727846341156,"score_spread":0.2550607900172419,"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."}}