{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000406347,0.0001252959,0.0004547722,0.000087708,0.0000222097,0.000002294269,0.0001340455,0.00006868025,0.00002881101],"category_scores_gemma":[0.00006177802,0.00008079773,0.00007578043,0.00008392484,0.0001382693,0.0001395374,0.0000449049,0.0001049755,0.000008846254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000779951,"about_ca_system_score_gemma":0.00001978873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008352764,"about_ca_topic_score_gemma":0.000251095,"domain_scores_codex":[0.9988561,0.0000810796,0.0004367809,0.0001781542,0.000239309,0.0002085324],"domain_scores_gemma":[0.9994138,0.0001902767,0.0001691811,0.00009680675,0.00003822674,0.00009169875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007714316,0.0003185757,0.2326737,0.000006451917,0.00004049864,0.0001324163,0.001777298,0.0005963587,0.7481253,0.000006212284,0.000007711038,0.01554403],"study_design_scores_gemma":[0.007256856,0.003129336,0.7215649,0.0001644651,0.0001714708,0.0003108223,0.0002028287,0.02805757,0.2376487,0.0002688445,0.0006988041,0.0005254439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923543,0.00003130944,0.006928028,0.0004972388,0.00004932323,0.00008243434,0.000007910259,0.000003275781,0.00004622775],"genre_scores_gemma":[0.9994367,0.000009689566,0.0003822327,0.00009302891,0.00004461718,0.000003618069,8.010256e-7,0.000007310959,0.00002199259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5104766,"threshold_uncertainty_score":0.3294836,"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."}}