{"id":"W2018053391","doi":"10.2118/131805-ms","title":"Mesoscopic Simulation of Rheology of Polymer Solution","year":2010,"lang":"en","type":"article","venue":"International Oil and Gas Conference and Exhibition in China","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Dissipative particle dynamics; Mesoscopic physics; Rheology; Hagen–Poiseuille equation; Viscoelasticity; Polymer; Materials science; Viscosity; Radius of gyration; Molecular dynamics; Weissenberg number; Flow (mathematics); Statistical physics; Mechanics; Physics; Chemistry; Computational chemistry; Composite material","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":[0.0001484206,0.00007323205,0.0001357005,0.0001209481,0.00002679331,0.00001654165,0.0000807263,0.00007506282,0.0003000787],"category_scores_gemma":[0.0000379369,0.00006872305,0.00001674215,0.00004885989,0.000145558,0.0002030527,0.00004887046,0.00008279145,0.000003267825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000592918,"about_ca_system_score_gemma":0.00003337247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004772666,"about_ca_topic_score_gemma":0.0001938249,"domain_scores_codex":[0.9993223,0.00002919761,0.0002610836,0.0001592243,0.0001392577,0.00008892114],"domain_scores_gemma":[0.9995985,0.00006561677,0.000136354,0.00007405522,0.00009631934,0.00002915627],"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":[0.00005702886,0.00006009653,0.009135604,0.00003020575,0.00000498447,0.000001001074,0.0005323835,0.00003574272,0.9393291,0.03469265,0.000007890884,0.01611332],"study_design_scores_gemma":[0.001043164,0.000119321,0.06834927,0.0001377519,0.00001317946,0.00001944483,0.00008134432,0.03012102,0.8912106,0.008697667,0.00005595553,0.0001512469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954859,0.00009416647,0.0007566533,0.001005764,0.000395693,0.000019468,0.0000150727,0.000009624183,0.002217661],"genre_scores_gemma":[0.9994196,0.00008494307,0.0001915222,0.00003596127,0.00004294236,0.00000513843,0.00001097433,0.000003411758,0.00020554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05921366,"threshold_uncertainty_score":0.3285651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099062340612949,"score_gpt":0.2620415164167379,"score_spread":0.2510508930106084,"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."}}