{"id":"W4401915513","doi":"10.1063/5.0222293","title":"Rayleigh–Taylor mixing in porous media at an extreme viscosity contrast","year":2024,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"RES’EAU-WaterNET","keywords":"Physics; Mixing (physics); Rayleigh–Taylor instability; Porous medium; Viscosity; Contrast (vision); Mechanics; Statistical physics; Porosity; Thermodynamics; Optics; Instability","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002076656,0.0001965867,0.000278445,0.00008148615,0.00002734073,0.00003606962,0.0002335377,0.0000743827,0.00003391762],"category_scores_gemma":[0.00002444393,0.0002176614,0.00007194944,0.0003205613,0.00006825217,0.0003605686,0.00007016619,0.0002086586,0.0000640368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090369,"about_ca_system_score_gemma":0.0000165581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003406868,"about_ca_topic_score_gemma":0.0001000042,"domain_scores_codex":[0.9988109,0.00002846826,0.0003247655,0.0002507972,0.0002375371,0.0003475609],"domain_scores_gemma":[0.999364,0.0001450113,0.00001321753,0.0003492912,0.00003069648,0.00009776532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001601138,0.00008572098,0.001661948,0.0001719583,0.00005764074,0.00005318765,0.002078107,0.01674476,0.9570926,0.01034133,0.0001690915,0.01152764],"study_design_scores_gemma":[0.0003152922,0.00002616693,0.00333806,0.00007825619,0.00002457413,0.000004698263,0.00003524352,0.9159159,0.0764078,0.003495887,0.00009571283,0.0002623791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887467,0.001143791,0.007435486,0.00002022684,0.0007074325,0.0001229802,0.00005920405,0.0003258829,0.001438267],"genre_scores_gemma":[0.9985982,0.00004965459,0.0009707591,0.0000117936,0.0002455036,0.00001577924,0.00003239528,0.00006350346,0.00001242209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8991712,"threshold_uncertainty_score":0.8875973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362051978713184,"score_gpt":0.2416409613408293,"score_spread":0.2180204415536975,"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."}}