{"id":"W1970276761","doi":"10.1002/mame.201000383","title":"A Particulate Method for Determining Residence Time in Viscous Flow Processes","year":2011,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Residence time distribution; Residence time (fluid dynamics); Mechanics; Computational fluid dynamics; Newtonian fluid; Flow (mathematics); Particle (ecology); Materials science; Computer science; Mathematical optimization; Mathematics; Physics; Engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006284332,0.000405691,0.0004691637,0.001428008,0.0003025361,0.0006298565,0.0007956393,0.0006443936,0.001579111],"category_scores_gemma":[0.001460689,0.0002347078,0.0003427137,0.0007111508,0.0004712433,0.00065428,0.0006263876,0.0005682335,0.0007334848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003798545,"about_ca_system_score_gemma":0.0005590296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021097,"about_ca_topic_score_gemma":0.0007803035,"domain_scores_codex":[0.9997111,0.0000480072,0.00001257257,0.00006874072,0.0001455135,0.00001406104],"domain_scores_gemma":[0.9994306,0.0002768552,0.00006586004,0.00008173278,0.0001253763,0.0000195914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004102119,0.0001960732,0.003718237,0.0006720738,0.00008175721,0.0003309696,0.0002976178,0.1198856,0.3056265,0.05271166,0.001691207,0.5143781],"study_design_scores_gemma":[0.00002944563,0.000190617,0.001453662,0.00002385308,0.00002751606,0.00026586,0.00003169533,0.9320059,0.05378899,0.005821021,0.006318722,0.00004271076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008385188,0.0001916102,0.9902363,0.00001374033,0.00002943744,0.00002466854,0.00003993886,0.0004397343,0.000639357],"genre_scores_gemma":[0.2416993,0.0003249762,0.754866,0.00002652076,0.00004077924,0.0001472596,0.0001603313,0.0001625007,0.002572291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001579111,"threshold_uncertainty_score":0.00528264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083780246802356,"score_gpt":0.2249884479666514,"score_spread":0.2141506454986279,"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."}}