{"id":"W2910028270","doi":"10.1063/1.5080100","title":"Prevention of network destruction of partially hydrolyzed polyacrylamide (HPAM): Effects of salt, temperature, and fumed silica nanoparticles","year":2019,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Energi Simulation","keywords":"Viscoelasticity; Rheology; Polyacrylamide; Creep; Chemical engineering; Polymer; Salt (chemistry); Enhanced oil recovery; Materials science; Viscosity; Fumed silica; Hydrolysis; Composite material; Chemistry; Polymer chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001315426,0.0003438496,0.000152833,0.0001151917,0.00007459804,0.0001118463,0.0001129905,0.0002138951,0.000329326],"category_scores_gemma":[0.000223463,0.0001213264,0.0002043638,0.00005900546,0.00015289,0.0002060153,0.0001286854,0.0002670051,0.00008157142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008982252,"about_ca_system_score_gemma":0.00009542948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003626843,"about_ca_topic_score_gemma":0.000751064,"domain_scores_codex":[0.9999151,0.00001320917,0.00001054667,0.00002364993,0.00002409822,0.00001348506],"domain_scores_gemma":[0.9998789,0.00002641261,0.00004804668,0.000008931347,0.00002143428,0.00001626334],"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":[0.00002139562,0.000004919604,0.00006229311,0.0000287769,0.000002861035,0.00001111206,0.000006426668,0.00003645778,0.9992021,0.000006629654,0.00000397995,0.0006130937],"study_design_scores_gemma":[0.000001342303,0.0001130411,0.0006082315,0.000002071601,0.00000461093,0.00002523876,0.000003716963,0.000248363,0.9988047,0.00000262678,0.0001843594,0.00000164884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966632,0.0009620713,0.001867812,0.00002787244,0.00001221106,0.00001538426,0.00004689011,0.00003513804,0.0003695414],"genre_scores_gemma":[0.995533,0.0005983639,0.003039906,0.00002804004,0.000004330964,0.00002129219,0.00008170167,0.00001055577,0.000682883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003626843,"threshold_uncertainty_score":0.001101673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003518963777429092,"score_gpt":0.2048876258224916,"score_spread":0.2013686620450625,"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."}}