{"id":"W4380028221","doi":"10.1002/cjce.25006","title":"Modelling of a vacuum residue hydrocracking in an industrial slurry phase reactor","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Slurry; Continuous stirred-tank reactor; Space velocity; Cracking; Process engineering; Residue (chemistry); Materials science; Light crude oil; Nuclear engineering; Chemical engineering; Chemistry; Catalysis; Environmental science; Engineering; Organic chemistry; Composite material","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":[0.0003480495,0.0001120368,0.0002660387,0.0003877888,0.00003229139,0.00002978827,0.0002049148,0.0000788915,0.00000826942],"category_scores_gemma":[0.00008555343,0.00009785642,0.00007263622,0.0006080017,0.00002544233,0.0001481105,0.00001122418,0.0003697962,0.000001553303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242619,"about_ca_system_score_gemma":0.0001027227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002921034,"about_ca_topic_score_gemma":0.0002421882,"domain_scores_codex":[0.9990689,0.000008662812,0.0004490036,0.00006751481,0.0001550996,0.0002508137],"domain_scores_gemma":[0.9994727,0.00007875924,0.00006556947,0.0001296236,0.00005808884,0.0001952309],"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":[0.000007379274,0.000004399913,0.0000641058,0.00002254055,0.00003801031,0.0000269523,0.000777472,0.935561,0.06304827,0.0000614142,0.0001377612,0.0002506681],"study_design_scores_gemma":[0.0006664299,0.00001842346,0.00002039011,0.0001411373,0.00004274622,0.00001594503,0.00006319718,0.920438,0.07800987,0.00009835335,0.0003445605,0.0001409796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984818,0.0002379422,0.0008537921,0.00009161438,0.0002080108,0.00004381702,0.00001120279,0.00002928645,0.00004258768],"genre_scores_gemma":[0.9995735,0.00001313993,0.00008507646,0.000005351002,0.0002833862,0.000001875661,0.000005797001,0.00002791261,0.000003946302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01512306,"threshold_uncertainty_score":0.3990469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05146900716350741,"score_gpt":0.2355261762114501,"score_spread":0.1840571690479427,"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."}}