{"id":"W4393011888","doi":"10.53941/ijamm.2024.100004","title":"Catalytic NO<sub>x</sub> Aftertreatment—Towards Ultra-Low NO<sub>x</sub> Mobility","year":2024,"lang":"en","type":"article","venue":"International Journal of Automotive Manufacturing and Materials","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Catalysis; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003899472,0.001213745,0.001604565,0.0008367058,0.0004030485,0.00306185,0.002308125,0.0003967115,0.001997101],"category_scores_gemma":[0.001525007,0.00101135,0.0004757535,0.0002795153,0.0009139083,0.002429934,0.0009429498,0.0004139588,0.00208178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197469,"about_ca_system_score_gemma":0.0007916744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000714148,"about_ca_topic_score_gemma":0.00003062116,"domain_scores_codex":[0.991206,0.0004339106,0.002656682,0.001724285,0.002658091,0.00132104],"domain_scores_gemma":[0.9945431,0.0006480019,0.001543148,0.0008825048,0.001729422,0.0006538356],"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":[0.0008062585,0.0004126492,0.00001016346,0.0007386215,0.0003782737,0.0008848163,0.0007342729,0.0002450827,0.9899729,0.0001978447,0.001986435,0.003632661],"study_design_scores_gemma":[0.001451574,0.0005304451,0.002649781,0.001578277,0.0002698941,0.001507693,0.00003972168,0.0001486026,0.9837154,0.002497308,0.004629887,0.0009813989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764602,0.0008948332,0.0007904151,0.0006974783,0.01718008,0.0007186395,0.001577569,0.0003710624,0.001309741],"genre_scores_gemma":[0.9941001,0.001116091,0.0008949449,0.0002675804,0.002484272,0.00009219908,0.0001344026,0.0001442047,0.0007662259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0176399,"threshold_uncertainty_score":0.9992337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009446282366873806,"score_gpt":0.2578300507898929,"score_spread":0.2483837684230191,"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."}}