{"id":"W2125034076","doi":"10.1111/j.1745-6584.2005.tb02281.x","title":"Remediation of DNAPL Source Zones with Granular Iron: Laboratory and Field Tests","year":2005,"lang":"en","type":"article","venue":"Ground Water","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental remediation; Bentonite; Contamination; Environmental chemistry; Mixing (physics); Groundwater; Environmental science; Groundwater remediation; Tetrachloroethylene; Degradation (telecommunications); Soil contamination; Aquifer; Chemistry; Soil water; Environmental engineering; Soil science; Geology; Geotechnical engineering; Trichloroethylene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000774725,0.0000882365,0.0001016187,0.00003718565,0.00002039492,0.00001420092,0.00003848898,0.00005295828,0.0000870091],"category_scores_gemma":[0.000005987134,0.0000630489,0.000008792008,0.00003005197,0.00002831814,0.0001743616,0.00001408071,0.00003466188,0.00003532746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002501627,"about_ca_system_score_gemma":0.000001987557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006349018,"about_ca_topic_score_gemma":0.00001361144,"domain_scores_codex":[0.9995209,0.000009509546,0.000142818,0.00008885926,0.0001169742,0.0001209304],"domain_scores_gemma":[0.9998003,0.00002345839,0.00002047823,0.0001108793,0.000008776395,0.00003610655],"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":[0.00002813858,0.00002738814,0.03222758,0.0001419146,0.00002137379,0.000002932943,0.001487389,0.002685548,0.95763,0.0000265048,0.0003316452,0.005389535],"study_design_scores_gemma":[0.0005313329,0.00008765903,0.02484779,0.00002126926,0.00002035891,0.00000468507,0.00004849267,0.0004076439,0.9552827,0.00002203881,0.01854744,0.000178589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975476,0.0001317416,0.001907821,0.0001196143,0.00007647384,0.00008998049,0.000003987339,0.0000598067,0.00006293139],"genre_scores_gemma":[0.9983808,0.00004703533,0.00113812,0.00007714883,0.0001299882,0.000009852823,0.00001580161,0.00001996317,0.0001812846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182158,"threshold_uncertainty_score":0.257106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003566723237364913,"score_gpt":0.1703110817710128,"score_spread":0.1667443585336478,"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."}}