{"id":"W2336826732","doi":"10.1007/s12650-016-0350-1","title":"3-D visualization of diffusive and convective solvent transport processes in oil-saturated porous media using laser technology","year":2016,"lang":"en","type":"article","venue":"Journal of Visualization","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Porous medium; Solvent; Visualization; Refractive index; Diffusion; Materials science; Mixing (physics); Laser; Displacement (psychology); Convection; Flow visualization; Mechanics; Porosity; Optics; Chemical engineering; Chemistry; Composite material; Flow (mathematics); Thermodynamics; Mechanical engineering; Physics; Optoelectronics; Organic chemistry; Engineering","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":[0.00017942,0.0002619954,0.0001651727,0.0005259066,0.0003377002,0.0005962609,0.0002916252,0.0006043127,0.00160774],"category_scores_gemma":[0.000319523,0.000268873,0.0002490385,0.0004047339,0.0004030877,0.0007152962,0.0004068567,0.0006226921,0.0001268841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428451,"about_ca_system_score_gemma":0.0006026723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002394117,"about_ca_topic_score_gemma":0.001988577,"domain_scores_codex":[0.9999225,0.00000766927,0.000004819074,0.00001035991,0.00003458986,0.00002010417],"domain_scores_gemma":[0.999729,0.0001725873,0.00002958306,0.00001394021,0.00003595747,0.00001887593],"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":[0.0002182737,0.00006221169,0.001629197,0.0001423,0.00001586883,0.0003180059,0.0002797181,0.01443314,0.9724677,0.002217773,0.0003982002,0.007817689],"study_design_scores_gemma":[0.00006751309,0.00009277882,0.007785561,0.00002588119,0.00002260554,0.0004051771,0.0002224872,0.2267347,0.7611501,0.001232319,0.002189925,0.0000710812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369933,0.000526179,0.05807014,0.0003659053,0.00001976417,0.00003345179,0.0003641534,0.0006502614,0.00297673],"genre_scores_gemma":[0.9698454,0.000407103,0.02840948,0.00004671617,0.0000109892,0.00003622941,0.0001304508,0.00004629342,0.001067397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002394117,"threshold_uncertainty_score":0.005378425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009658783309689792,"score_gpt":0.2709055042060058,"score_spread":0.261246720896316,"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."}}