{"id":"W2082238417","doi":"10.1016/j.apm.2005.03.016","title":"A numerical model of the reacting multiphase flow in a pulp digester","year":2005,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multiphase flow; Curvilinear coordinates; Mechanics; Flow (mathematics); Pulp (tooth); Mechanical engineering; Engineering; Process engineering; Materials science; Petroleum engineering; Mathematics; Physics; Geometry","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":[0.0001146526,0.0001450775,0.000225156,0.00002411873,0.00002220652,0.00001131507,0.0001750428,0.00009566563,0.000007099834],"category_scores_gemma":[0.00001047255,0.0001094833,0.00006678467,0.000106576,0.00002647711,0.00005155943,0.00003488611,0.0002571922,0.0000168384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004345271,"about_ca_system_score_gemma":0.000009710518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.471331e-7,"about_ca_topic_score_gemma":2.644574e-7,"domain_scores_codex":[0.9990686,0.000003998104,0.0003650279,0.000142235,0.0001730998,0.0002471028],"domain_scores_gemma":[0.9995272,0.0001041844,0.00003336141,0.0002688803,0.000009829195,0.00005657117],"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":[0.000003085067,0.00006702461,0.00000230137,0.0001457825,0.000007741492,3.3517e-7,0.0007983812,0.9620912,0.03382589,0.002158809,0.00001939501,0.0008800193],"study_design_scores_gemma":[0.0002135833,0.000001023164,1.031392e-7,0.00006520888,0.000007924771,0.000001696836,0.00003496899,0.7963757,0.1948418,0.008351653,0.000006421776,0.00009995153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1899709,0.00003837046,0.782119,0.00005699048,0.0000172849,0.000209121,0.000002539385,0.0001178162,0.02746803],"genre_scores_gemma":[0.880239,0.000004656342,0.1195926,0.0000288273,0.00004184055,0.00003204233,7.681311e-7,0.0000307665,0.00002957212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6902681,"threshold_uncertainty_score":0.44646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936340456132013,"score_gpt":0.2063186582623405,"score_spread":0.1869552537010204,"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."}}