{"id":"W4410014112","doi":"10.1002/app.57189","title":"Polymer Flooding Dynamics in Enhanced Oil Recovery: A Pore‐Scale Study of the Influence of Shear‐Thinning Rheology on Flow Dynamics and Recovery Efficiency","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Energi Simulation; Heriot-Watt University","keywords":"Rheology; Shear thinning; Materials science; Dynamics (music); Polymer; Thinning; Enhanced oil recovery; Shear (geology); Flow (mathematics); Composite material; Chemical engineering; Mechanics; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527659,0.0002220811,0.0003160922,0.0002341037,0.0001224935,0.0001990434,0.0002338086,0.0002236184,0.0005767758],"category_scores_gemma":[0.0004513676,0.0001134828,0.0002214726,0.0001814212,0.0002573105,0.000659598,0.0002571072,0.0004284834,0.0001052333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778394,"about_ca_system_score_gemma":0.000178043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008627928,"about_ca_topic_score_gemma":0.0004923182,"domain_scores_codex":[0.9999404,0.000008811612,0.000003699978,0.00001146963,0.00001899502,0.00001668256],"domain_scores_gemma":[0.9997641,0.0001198381,0.00005026386,0.00001893113,0.00002890548,0.0000177785],"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":[0.000155125,0.0001477703,0.001218226,0.00006797228,0.00001018342,0.0001102834,0.00006469108,0.02162866,0.9723016,0.0004166558,0.00004196158,0.003836962],"study_design_scores_gemma":[0.00001679768,0.0003285473,0.002831779,0.000007984708,0.00001335373,0.00004420794,0.00004492094,0.3036412,0.6924799,0.0002005064,0.000374933,0.0000158541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940518,0.0001569,0.005400211,0.00001786371,0.000003492444,0.00001170454,0.00003032328,0.00005593119,0.0002718396],"genre_scores_gemma":[0.9983225,0.0001086372,0.001356672,0.000004524989,0.000001257861,0.000006351665,0.00002047353,0.000008181883,0.0001711989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008627928,"threshold_uncertainty_score":0.001929462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002931931226286359,"score_gpt":0.2196142894437492,"score_spread":0.2166823582174628,"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."}}