{"id":"W4296803288","doi":"10.1038/s41598-022-20241-4","title":"Decontamination of water co-polluted by copper, toluene and tetrahydrofuran using lauric acid","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Lakehead University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan; Canadian Light Source","keywords":"Lauric acid; Chemistry; Toluene; Tetrahydrofuran; Copper; Inorganic chemistry; Nitric acid; Fourier transform infrared spectroscopy; Nuclear chemistry; Solvent; Organic chemistry; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001305747,0.0005592875,0.0003759771,0.0003161927,0.0002835323,0.0004404671,0.0002963815,0.0003298501,0.0006258806],"category_scores_gemma":[0.0002225197,0.0001573861,0.0003650401,0.0002772839,0.0002179291,0.0002668483,0.0004027952,0.0003282508,0.0003722823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629007,"about_ca_system_score_gemma":0.0003595848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719768,"about_ca_topic_score_gemma":0.003058457,"domain_scores_codex":[0.9998012,0.00002960656,0.00001689831,0.0000353131,0.0000672411,0.00004976076],"domain_scores_gemma":[0.9999115,0.000009250838,0.00002600506,0.000007757241,0.0000296577,0.00001573465],"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":[0.00003778579,0.00001218515,0.000151143,0.00005802826,0.000005607365,0.00006181242,0.00002798949,0.000080238,0.9966517,0.00001449078,0.0000337836,0.002865286],"study_design_scores_gemma":[0.000002440449,0.0001073795,0.0006030323,0.000006846806,0.000009721395,0.00004417863,0.0000402205,0.0003375227,0.997792,0.00001010333,0.001042765,0.000003646427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904322,0.001296268,0.006667722,0.00009452552,0.0000528807,0.00006245737,0.0001551376,0.0001226278,0.001116251],"genre_scores_gemma":[0.9880283,0.001554094,0.007706374,0.00008774757,0.00001703636,0.00004838972,0.0002058218,0.00005503738,0.002297139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001719768,"threshold_uncertainty_score":0.003419518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238107439990582,"score_gpt":0.2523483052030408,"score_spread":0.239967230803135,"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."}}