{"id":"W4408428354","doi":"10.5194/egusphere-egu25-14384","title":"Pore Network Modeling of Nanoparticle Dispersion in Porous Media","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Porous medium; Dispersion (optics); Nanoparticle; Materials science; Porosity; Chemical engineering; Nanotechnology; Composite material; Physics; Engineering; Optics","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":[0.000200639,0.0002980059,0.0003005055,0.0004570115,0.0002625771,0.0006321947,0.0007993691,0.001035658,0.0008291451],"category_scores_gemma":[0.0007139426,0.000236019,0.0004827665,0.0003508583,0.0004908749,0.0007708689,0.0003957044,0.0003239321,0.0001431568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105498,"about_ca_system_score_gemma":0.0008244314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483325,"about_ca_topic_score_gemma":0.005906702,"domain_scores_codex":[0.9998941,0.00001773149,0.000005150378,0.00002561282,0.00003245184,0.00002493242],"domain_scores_gemma":[0.9996608,0.0002009771,0.00004911536,0.00001578116,0.00005321846,0.00002006855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000175043,0.00001377046,0.0003651064,0.00002070686,0.000005728084,0.00005760639,0.00002304617,0.9885213,0.004948565,0.004615619,0.00007291247,0.001338068],"study_design_scores_gemma":[0.000002372612,0.000003603344,0.00008177102,0.000001376743,0.000001190463,0.000006849595,0.000003678529,0.9985555,0.0006213632,0.000541488,0.0001789303,0.000001886542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4198309,0.0008850083,0.5563431,0.0004558879,0.00007527952,0.0001303263,0.0009803916,0.0009019207,0.02039718],"genre_scores_gemma":[0.9559811,0.0005553847,0.03653728,0.00006090543,0.00001613248,0.0001449941,0.0002987541,0.0000775996,0.006327856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01483325,"threshold_uncertainty_score":0.02949381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201617394492533,"score_gpt":0.2324863597810024,"score_spread":0.2204701858360771,"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."}}