{"id":"W2444285820","doi":"10.1016/j.jconhyd.2016.06.002","title":"Exposure-time based modeling of nonlinear reactive transport in porous media subject to physical and geochemical heterogeneity","year":2016,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Carleton University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Porous medium; Chemistry; Reactive material; Mixing (physics); Mechanics; Biological system; Porosity; Physics","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":[0.0007506669,0.0009283645,0.001130915,0.000850141,0.0007503776,0.001547696,0.00206158,0.003144507,0.001387784],"category_scores_gemma":[0.002577845,0.001016905,0.00119936,0.0007146448,0.001717954,0.001386471,0.001419152,0.001128489,0.000188202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002235947,"about_ca_system_score_gemma":0.001679929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06777161,"about_ca_topic_score_gemma":0.01743785,"domain_scores_codex":[0.999684,0.00009199783,0.00001569546,0.00007589687,0.00004753425,0.00008487539],"domain_scores_gemma":[0.9985151,0.0009799254,0.0001909456,0.00004724943,0.0001738658,0.00009286125],"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":[0.00002103328,0.00002469001,0.0004428627,0.00001001019,0.00001154383,0.00002825911,0.00001391243,0.9974796,0.0003593857,0.001222402,0.00003731142,0.0003489278],"study_design_scores_gemma":[0.000003502301,0.000003607922,0.00006335793,6.789895e-7,0.000002448449,0.000002263307,0.000003394187,0.9996706,0.00006171102,0.0001675481,0.00001824446,0.000002624924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.718254,0.000882555,0.2663095,0.001294104,0.0001657363,0.0001284741,0.0007981284,0.0004412009,0.01172629],"genre_scores_gemma":[0.9886644,0.0002898254,0.004694232,0.00007573573,0.00003323253,0.00006319804,0.0001629609,0.00004842494,0.005967975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06777161,"threshold_uncertainty_score":0.1347543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943536868588716,"score_gpt":0.2254684290842125,"score_spread":0.2160330603983253,"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."}}