{"id":"W2489234890","doi":"10.1016/j.jconhyd.2016.07.007","title":"Effects of reservoir heterogeneity on scaling of effective mass transfer coefficient for solute transport","year":2016,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Basic Energy Sciences; Office of Science; University of Alberta; Western Canada Research Grid; U.S. Department of Energy","keywords":"Scaling; Spatial heterogeneity; Statistical physics; Mass transfer; Scale (ratio); Diffusion; Dispersion (optics); Flow (mathematics); Volume (thermodynamics); Mechanics; Physics; Mathematics; Thermodynamics; Geometry","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":[0.0007447021,0.0001519098,0.0005680298,0.0000973094,0.00005902129,0.000001894872,0.0002155439,0.00009325043,0.00002164801],"category_scores_gemma":[0.00006630272,0.00009168939,0.0002673013,0.00008258573,0.0002720448,0.0001035845,0.00002162317,0.00008262134,0.000003997217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008970131,"about_ca_system_score_gemma":0.00001355484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000203756,"about_ca_topic_score_gemma":0.00005583034,"domain_scores_codex":[0.9984934,0.0001550879,0.0006102159,0.0001794531,0.0003051774,0.0002566538],"domain_scores_gemma":[0.9987069,0.0007438723,0.0002817748,0.0001216547,0.00008042884,0.00006539584],"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":[0.002118702,0.0004225899,0.04690752,0.0001389648,0.0002459816,0.00004249595,0.0009592193,0.0007755197,0.9139165,0.0002021152,0.00004716783,0.0342232],"study_design_scores_gemma":[0.004254999,0.004056004,0.2802426,0.0001681794,0.0001791078,0.00002393921,0.00002860792,0.0001681572,0.7083441,0.0001209302,0.002281748,0.0001316317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7710149,0.00008330966,0.2280843,0.0001993009,0.0002216758,0.0003421997,0.00001025672,0.000002962265,0.00004108923],"genre_scores_gemma":[0.9995567,0.00004025772,0.000147902,0.00006024839,0.00003192093,0.00002389819,4.181651e-7,0.00001125524,0.00012741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2333351,"threshold_uncertainty_score":0.3738985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008010040601317705,"score_gpt":0.2327022985521553,"score_spread":0.2246922579508376,"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."}}