{"id":"W2071250938","doi":"10.1007/s00128-006-1072-1","title":"Dechlorination of DDT by Electrocatalytic Hydrogenolysis","year":2006,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Green IT and Sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Hydrogenolysis; Ecotoxicology; Environmental chemistry; Chemistry; Environmental science; Toxicology; Organic chemistry; Biology; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0001015035,0.00007867889,0.0001495494,0.00005523234,0.00002048675,0.000002175603,0.00004275189,0.00007391135,0.0003200519],"category_scores_gemma":[0.000008469739,0.0000867752,0.00003076282,0.00002910731,0.00009987879,0.00001696885,0.00001539798,0.00004385594,0.000006931899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007553431,"about_ca_system_score_gemma":0.000002138726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002529543,"about_ca_topic_score_gemma":0.00001127025,"domain_scores_codex":[0.9994805,0.00002310155,0.0002216966,0.00009892845,0.00006991644,0.0001058199],"domain_scores_gemma":[0.9998102,0.00004068225,0.00005338062,0.00007128496,0.000004814434,0.00001960507],"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":[0.00004051298,0.0004537299,0.02705978,0.0001453293,0.00005022996,0.000002531804,0.0001767671,0.0002194289,0.9345381,0.002392238,0.003250211,0.03167116],"study_design_scores_gemma":[0.001439398,0.000474302,0.2911468,0.000006036099,0.00006611506,0.0000109584,0.0002894852,0.001935336,0.6347896,0.0007358125,0.06882492,0.0002812746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965764,0.0005864198,0.0007225796,0.00008426041,0.00002264696,0.0001403701,0.00001177858,0.00001636792,0.00183913],"genre_scores_gemma":[0.9993081,0.00007102019,0.00007342247,0.00001223511,0.000007585234,0.00001363409,0.00004036714,0.000007603019,0.0004660388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2997485,"threshold_uncertainty_score":0.353859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001863396125297663,"score_gpt":0.1573722231013434,"score_spread":0.1555088269760458,"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."}}