{"id":"W7026709575","doi":"","title":"Attenuation of Metals and Inorganics- Insights from Laboratory Testing Approaches","year":2024,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attenuation; Groundwater; Remedial action; Environmental remediation; Natural (archaeology); Coal; Contamination; Environmental monitoring; Arsenic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007224276,0.00007774145,0.0001530579,0.0001140981,0.00002694598,0.000007347278,0.00007189983,0.00006325206,0.00006482669],"category_scores_gemma":[0.00003610377,0.00009368147,0.00002108706,0.0002290555,0.00006462358,0.0002216727,0.00005414691,0.00004711512,0.00003294609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000510497,"about_ca_system_score_gemma":0.00001641414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001825701,"about_ca_topic_score_gemma":0.00002607622,"domain_scores_codex":[0.9995767,0.00002798077,0.0001121973,0.0001287664,0.00009250545,0.00006178852],"domain_scores_gemma":[0.9996883,0.0001038423,0.00004101996,0.0001052296,0.0000238659,0.00003778451],"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":[0.00000677541,0.00002926851,0.003341365,0.0004297516,0.0001491655,0.000007146017,0.004931326,0.0002476342,0.9851663,0.0006425286,0.0003210455,0.004727677],"study_design_scores_gemma":[0.001580505,0.0001813765,0.1982522,0.0009524284,0.0006079627,0.000003104265,0.005960528,0.1053266,0.6736339,0.001450632,0.01116253,0.0008882103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941927,0.002572143,0.00152185,0.00001377001,0.0001859026,0.00008741413,0.00004800459,0.00009343457,0.001284798],"genre_scores_gemma":[0.9966141,0.0001133,0.003150578,0.000001170134,0.00002944566,1.86305e-7,0.00002053299,0.00001330927,0.00005735511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3115323,"threshold_uncertainty_score":0.3820219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051719265250742,"score_gpt":0.1650889404762346,"score_spread":0.1445717478237272,"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."}}