{"id":"W4408434055","doi":"10.5194/egusphere-egu25-10360","title":"An Analytic Element Method solution for multispecies reactive contaminant transport","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Graphite, nuclear technology, radiation studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Element (criminal law); Environmental science; Environmental chemistry; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009377127,0.000337356,0.00066675,0.0004355183,0.0002395161,0.00004708908,0.0004990514,0.0003625453,0.0001742258],"category_scores_gemma":[0.00008975966,0.0003039694,0.0002244091,0.0001629041,0.0001769122,0.0001001501,0.00018584,0.0002520133,0.00001697888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605117,"about_ca_system_score_gemma":0.0001135143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000475201,"about_ca_topic_score_gemma":0.001014126,"domain_scores_codex":[0.9977556,0.000108576,0.0005769382,0.0009073332,0.0002539252,0.0003975705],"domain_scores_gemma":[0.9984728,0.0001745504,0.0003374887,0.0007265881,0.0002307397,0.00005788721],"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":[0.00048354,0.001105918,0.007847057,0.000998757,0.001014755,0.00001482294,0.005660144,0.001910315,0.8702682,0.07091673,0.008228337,0.03155144],"study_design_scores_gemma":[0.00439492,0.001206829,0.2157697,0.000507806,0.002403383,0.00001024818,0.01215121,0.1210707,0.5379687,0.02741887,0.0739439,0.003153747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2113115,0.0003499418,0.7769341,0.001431849,0.001686774,0.003048203,0.001913743,0.001101069,0.002222805],"genre_scores_gemma":[0.8230806,0.0001183494,0.1744318,0.0001707631,0.00006820042,0.0005854378,0.0001521172,0.00002381908,0.001368975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.611769,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327374497861219,"score_gpt":0.352486930360505,"score_spread":0.3192131853818928,"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."}}