{"id":"W1999690998","doi":"10.1016/j.jconhyd.2011.04.008","title":"Determination of spatially-resolved porosity, tracer distributions and diffusion coefficients in porous media using MRI measurements and numerical simulations","year":2011,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of New Brunswick","funders":"","keywords":"TRACER; Porous medium; Diffusion; Porosity; Advection; Molecular diffusion; Aquifer; Materials science; Mineralogy; Chemistry; Thermodynamics; Geology; Groundwater; Geotechnical engineering; Physics; Composite material","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":[0.0004821194,0.000255518,0.0002385879,0.0003793676,0.0002034221,0.0004761767,0.0004072009,0.0004265957,0.0001827072],"category_scores_gemma":[0.001703671,0.0003076222,0.0001739484,0.0003310617,0.0005682359,0.000651038,0.0003160094,0.0003663783,0.00006473526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544122,"about_ca_system_score_gemma":0.0005292136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003015876,"about_ca_topic_score_gemma":0.002532726,"domain_scores_codex":[0.9999382,0.00001111037,0.000004783799,0.00001426904,0.00002182103,0.000009822105],"domain_scores_gemma":[0.9995841,0.0002443474,0.00006447812,0.00003066819,0.00005540554,0.00002093524],"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":[0.000431727,0.0001278002,0.006754206,0.0002190055,0.00003261692,0.0002594579,0.0002158733,0.1960405,0.7753487,0.004855509,0.0001779882,0.01553659],"study_design_scores_gemma":[0.00003570534,0.00008867514,0.00386911,0.00001645822,0.00002225806,0.0001287803,0.00005458107,0.8007337,0.1933263,0.001181669,0.0005144796,0.00002827659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784794,0.0005178766,0.1191329,0.0001362611,0.00001150989,0.00003987742,0.0001631723,0.0001492082,0.001369866],"genre_scores_gemma":[0.9740956,0.0002245908,0.02535326,0.00001032169,0.000003483931,0.0000230778,0.00006762094,0.0000128548,0.000209089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003015876,"threshold_uncertainty_score":0.005996644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363042371849879,"score_gpt":0.2549572277296709,"score_spread":0.2213268040111721,"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."}}