{"id":"W2025233134","doi":"10.1021/es9911465","title":"Electrocatalytic Dehydrochlorination of Pentachlorophenol to Phenol or Cyclohexanol","year":2000,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Pentachlorophenol; Cyclohexanol; Chemistry; Phenol; Cyclohexanone; Hydrogenolysis; Aqueous solution; Palladium; Yield (engineering); Rhodium; Inorganic chemistry; Nuclear chemistry; Catalysis; Organic chemistry; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009391599,0.000380051,0.0001859436,0.0001652461,0.0001124825,0.0001928942,0.0002033959,0.0001466683,0.001232298],"category_scores_gemma":[0.0001655645,0.0001375318,0.0001527411,0.0002052563,0.0001920674,0.0001369577,0.0002186862,0.0002152692,0.0002333658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674739,"about_ca_system_score_gemma":0.0002804975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955505,"about_ca_topic_score_gemma":0.005768559,"domain_scores_codex":[0.9998702,0.00001163381,0.000005437493,0.0000250014,0.00003151561,0.00005618002],"domain_scores_gemma":[0.9999349,0.00001788648,0.00001074981,0.000008638998,0.00001529512,0.00001255838],"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":[0.00006594601,0.000007470178,0.0001294624,0.00003476125,0.000003658358,0.00004997387,0.0000191348,0.0000594453,0.9984149,0.00003849206,0.0000266807,0.001150085],"study_design_scores_gemma":[0.000002806032,0.00002546346,0.0005140011,9.681401e-7,0.000002548414,0.00002770426,0.00001323291,0.0001961252,0.9988163,0.000008138151,0.0003916519,0.000001142073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945266,0.0004127,0.002588321,0.00006215496,0.00001756549,0.00002250237,0.0001893445,0.00006084853,0.002120011],"genre_scores_gemma":[0.9951245,0.0004613861,0.001220769,0.000022798,0.000002849468,0.00001416694,0.0001999953,0.00001775178,0.002935683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003955505,"threshold_uncertainty_score":0.007864952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004194350282850781,"score_gpt":0.1992090397032582,"score_spread":0.1950146894204074,"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."}}