{"id":"W2913246681","doi":"10.5772/intechopen.80866","title":"High-Octane Gasoline Production from Catalytic Naphtha Reforming","year":2019,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalytic reforming; Naphtha; Gasoline; Octane rating; Refinery; Oil refinery; Process engineering; Automotive industry; Refining (metallurgy); Octane; Process (computing); Raw material; Production (economics); Engineering; Waste management; Computer science; Chemistry; Catalysis; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005394108,0.000243141,0.0001987892,0.0001844053,0.00009961976,0.0004506698,0.0002515904,0.0001917075,0.001590131],"category_scores_gemma":[0.00005793266,0.0001199357,0.0002365471,0.0003233418,0.0001007089,0.0003321134,0.0001544984,0.0002613742,0.0006668735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003745731,"about_ca_system_score_gemma":0.0002552786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139272,"about_ca_topic_score_gemma":0.00363693,"domain_scores_codex":[0.9999481,0.000002834908,0.000001110255,0.00000989686,0.0000350736,0.00000295198],"domain_scores_gemma":[0.9999926,0.00000216647,7.930918e-7,0.00000116408,0.000002677617,5.586876e-7],"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":[0.0001063283,0.0001214144,0.001010903,0.001049521,0.00002258473,0.0003860591,0.0001565574,0.1502253,0.4540145,0.02384251,0.004100411,0.3649638],"study_design_scores_gemma":[0.0000154063,0.0002224888,0.002996111,0.0001097241,0.00003488319,0.0003563612,0.0001185601,0.2692009,0.5932937,0.006255974,0.1273726,0.00002322441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4454134,0.01932251,0.2933584,0.0006371462,0.0002079533,0.000223164,0.000784006,0.001389335,0.2386642],"genre_scores_gemma":[0.7626979,0.01943889,0.0787949,0.00006083738,0.00003158644,0.00005960421,0.0008177774,0.0002212926,0.1378772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001590131,"threshold_uncertainty_score":0.005319536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309824427699002,"score_gpt":0.2034358012613138,"score_spread":0.1903375569843238,"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."}}