{"id":"W2955883447","doi":"10.5539/mer.v9n1p30","title":"Modification of Exhaust Using Low Precious Metals for Two Wheelers","year":2019,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalytic converter; Catalysis; NOx; Rhodium; Palladium; Materials science; Platinum; Exhaust gas; Oxide; Automotive engineering; Chemical engineering; Waste management; Chemistry; Metallurgy; Engineering; Organic chemistry; Combustion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004143583,0.0001283293,0.0002962126,0.0001945825,0.00006819115,0.00009774008,0.0007658199,0.00008121186,0.0002691064],"category_scores_gemma":[0.00145383,0.0001202356,0.00006156115,0.0004664837,0.00008165369,0.0002644376,0.0002577573,0.0001424006,0.0001215844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150671,"about_ca_system_score_gemma":0.0001370747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000554801,"about_ca_topic_score_gemma":0.000001078127,"domain_scores_codex":[0.9977077,0.00005007166,0.0003868772,0.0004678537,0.0008080246,0.0005794701],"domain_scores_gemma":[0.9983286,0.0005204651,0.00008097407,0.0005618157,0.0003934948,0.0001145987],"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":[0.00003569379,0.00003381482,0.000001776846,0.000352107,0.000003695095,5.253535e-7,0.00004129276,0.04388266,0.9493697,0.006152616,0.00001212854,0.0001139704],"study_design_scores_gemma":[0.0002484469,0.0000592735,0.000006320658,0.00007260445,0.000004775912,0.000003880966,0.0000204811,0.2869056,0.7118,0.0007258013,0.0000566947,0.00009610603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635578,0.00005140402,0.1349619,0.00003556206,0.0005845485,0.0006722549,0.00002567555,0.00006547599,0.00004539864],"genre_scores_gemma":[0.9779597,0.000003745361,0.02173721,0.000005086592,0.00008172989,0.00007332153,0.00000434457,0.00002905159,0.0001058111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2430229,"threshold_uncertainty_score":0.4903066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618296877683719,"score_gpt":0.3811832620983475,"score_spread":0.2950002933215103,"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."}}