{"id":"W4210631149","doi":"10.3390/jimaging8020032","title":"Visualization of Interstitial Pore Fluid Flow","year":2022,"lang":"en","type":"article","venue":"Journal of Imaging","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pinkerton Foundation","keywords":"Microscale chemistry; Particle image velocimetry; Flow visualization; Materials science; Porous medium; Particle tracking velocimetry; Flow (mathematics); Fluid dynamics; Turbulence; Porosity; Visualization; Velocimetry; Particle (ecology); Flow velocity; Mechanics; Geology; Computer science; Composite material; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002070358,0.00005705675,0.0001184361,0.000172132,0.00002922484,0.00001088886,0.00009701669,0.000007052595,0.00006903708],"category_scores_gemma":[0.00001881584,0.00006045717,0.00006506009,0.0001236591,0.000007446699,0.0001175843,0.0000230059,0.0001358152,5.9166e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006523149,"about_ca_system_score_gemma":0.0000129465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001308612,"about_ca_topic_score_gemma":8.395158e-8,"domain_scores_codex":[0.9994277,0.00001118886,0.0002688339,0.00003236915,0.0001714005,0.00008853596],"domain_scores_gemma":[0.999792,0.00001626726,0.00006630659,0.00005076921,0.00004392054,0.00003074806],"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":[0.000006188855,0.000008192636,0.0002820458,0.00003882717,0.00002285336,0.00003062279,0.0003812158,0.9757582,0.01645075,0.00005214801,0.001425332,0.005543625],"study_design_scores_gemma":[0.0002482202,0.00003203083,0.0000737264,0.00006086886,0.00001692685,0.0002224261,0.0002238093,0.9830228,0.008794714,0.00004845691,0.007180655,0.00007536459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016394,0.001743681,0.8912309,0.00007751041,0.002855198,0.00003858002,0.000006399101,0.00008628402,0.002322079],"genre_scores_gemma":[0.9982334,0.00003116465,0.001520239,0.00001580969,0.0001630447,4.960414e-7,0.000002558368,0.00001996959,0.00001330763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.896594,"threshold_uncertainty_score":0.2465372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004471316897197183,"score_gpt":0.2079391314827808,"score_spread":0.2034678145855837,"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."}}