{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001087323,0.0001851802,0.0001300328,0.000541019,0.0001648559,0.0002696089,0.0001862144,0.0002486036,0.0007332643],"category_scores_gemma":[0.0001426715,0.00009779557,0.0001289568,0.0002033479,0.0002080455,0.0003187708,0.0002536959,0.00049639,0.0001237731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457867,"about_ca_system_score_gemma":0.0003621624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002377452,"about_ca_topic_score_gemma":0.002812344,"domain_scores_codex":[0.9999354,0.000004902379,0.000002586155,0.00001758227,0.00001997343,0.00001943765],"domain_scores_gemma":[0.9998896,0.00003787826,0.0000202194,0.000009070899,0.00001985795,0.00002322416],"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":[0.0000210148,0.000006966149,0.0003910829,0.00002878794,0.000001633348,0.00004878739,0.00003082019,0.000267388,0.9958905,0.0002552269,0.00004443935,0.003013339],"study_design_scores_gemma":[0.00001218688,0.0001171276,0.01364972,0.00001730137,0.00001470429,0.0005037934,0.0001027837,0.01236548,0.9690655,0.0003874591,0.003743491,0.00002060001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838755,0.001284915,0.1097144,0.0001634498,0.00002696729,0.00007020694,0.000659017,0.0006789088,0.003526568],"genre_scores_gemma":[0.9372129,0.0007050505,0.0593364,0.00003964796,0.00001089134,0.00004865368,0.0003117748,0.00003439891,0.002300322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002377452,"threshold_uncertainty_score":0.004727244,"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."}}