{"id":"W2031773660","doi":"10.1002/adic.200590091","title":"Evaluation of Mutual Connections between Zero‐Valent Iron Reactivity and Groundwater Composition in Trichloroethylene Degradation","year":2005,"lang":"en","type":"article","venue":"Annali di Chimica","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zerovalent iron; Groundwater; Environmental remediation; Trichloroethylene; Chemistry; Environmental chemistry; Leaching (pedology); Groundwater remediation; Permeable reactive barrier; Aquifer; Distilled water; Aqueous solution; Groundwater pollution; Reactivity (psychology); Degradation (telecommunications); Contamination; Adsorption; Environmental science; Soil water; Soil science; Geology; Chromatography; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007274887,0.0002676486,0.0001855705,0.0003050964,0.0001315116,0.0002670384,0.0001565527,0.0003008709,0.0003393647],"category_scores_gemma":[0.001391422,0.0002181472,0.0001856136,0.0002451197,0.0002875597,0.0001960252,0.000235953,0.0002007609,0.00006267994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514333,"about_ca_system_score_gemma":0.0002614624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002313543,"about_ca_topic_score_gemma":0.00286168,"domain_scores_codex":[0.9995986,0.000136983,0.00002527496,0.0000519038,0.0001380605,0.00004920888],"domain_scores_gemma":[0.9993211,0.0003600383,0.0001256371,0.00003139079,0.0001273921,0.00003450637],"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":[0.0002658084,0.00003092627,0.006178819,0.00004281738,0.00002534484,0.00005360213,0.0000469373,0.0005072744,0.9900759,0.00003537442,0.000006817282,0.002730348],"study_design_scores_gemma":[0.000005943963,0.0003254607,0.01351846,0.000003157676,0.0000422712,0.00008194456,0.00002920976,0.001651271,0.9841717,0.00002038693,0.0001445632,0.000005689028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985447,0.0001851996,0.000961274,0.000007717681,0.000001110481,0.0000112096,0.00002848988,0.000005149558,0.0002551931],"genre_scores_gemma":[0.998521,0.0001607116,0.0009625236,0.000004199353,9.275824e-7,0.00000861124,0.00004346824,0.000002922638,0.0002956881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002313543,"threshold_uncertainty_score":0.004600167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003873730089793,"score_gpt":0.2614921203931156,"score_spread":0.2314533830922177,"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."}}