{"id":"W2080671797","doi":"10.1002/cjce.5450850105","title":"Measuring Flow Velocity and Uniformity in a Model Batch Digester Using Electrical Resistance Tomography","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reynolds number; Flow (mathematics); Materials science; Electrical resistance and conductance; Mechanics; Flow velocity; Tomography; Flow resistance; Point (geometry); Environmental science; Composite material; Mathematics; Physics; Geometry; Turbulence; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006602936,0.0002583816,0.0003172005,0.0003609445,0.000269073,0.0003684959,0.0004201098,0.0004280844,0.0005468862],"category_scores_gemma":[0.0008915696,0.0002185307,0.000232993,0.000323786,0.0004304024,0.0003620333,0.0002309835,0.0003365221,0.00009656401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005135838,"about_ca_system_score_gemma":0.0003603388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665475,"about_ca_topic_score_gemma":0.002193399,"domain_scores_codex":[0.9997639,0.00003189834,0.00001431876,0.00007425009,0.00008885936,0.00002679565],"domain_scores_gemma":[0.9995441,0.0002131045,0.00008172321,0.00005332863,0.00008051354,0.00002718176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002166737,0.00006962324,0.003173645,0.00001995329,0.000004555702,0.00003820853,0.00008053494,0.002720729,0.9904712,0.00007739056,0.00002393879,0.003103478],"study_design_scores_gemma":[0.0000285182,0.0007922516,0.02316865,0.000004462524,0.00001838329,0.00009536676,0.00008216379,0.04606613,0.9293897,0.00005074395,0.0002806227,0.00002313786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987701,0.00004644144,0.01181268,0.00001356695,0.000002728188,0.00002733479,0.00008124326,0.0001158971,0.0001991589],"genre_scores_gemma":[0.9821184,0.00005587371,0.01720807,0.000006630268,0.000001518281,0.00002616145,0.0000946826,0.00001418496,0.0004745501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002665475,"threshold_uncertainty_score":0.005299866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118307105383417,"score_gpt":0.1788338940619588,"score_spread":0.1670031835236171,"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."}}