{"id":"W2990171452","doi":"10.1016/j.carbpol.2019.115642","title":"Facile synthesis of Ag NPs@ MIL-100(Fe)/ guar gum hybrid hydrogel as a versatile photocatalyst for wastewater remediation: Photocatalytic degradation, water/oil separation and bacterial inactivation","year":2019,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Photocatalysis; Wastewater; Environmental remediation; Adsorption; Materials science; Chemical engineering; Guar gum; Degradation (telecommunications); Groundwater remediation; Self-healing hydrogels; Chemistry; Catalysis; Waste management; Organic chemistry; Polymer chemistry","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":[0.0001129709,0.000396298,0.0002290533,0.0002257495,0.0001187233,0.0001835774,0.0002646024,0.0003552506,0.001085283],"category_scores_gemma":[0.0001009044,0.0001876426,0.0002598349,0.000152763,0.0001241597,0.0002815813,0.0002151815,0.0003645878,0.0003494727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877353,"about_ca_system_score_gemma":0.0001342212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002980607,"about_ca_topic_score_gemma":0.0009494727,"domain_scores_codex":[0.9999212,0.00000603739,0.000007033843,0.00001821971,0.00002507302,0.00002249924],"domain_scores_gemma":[0.9999572,0.000007798936,0.00001334136,0.000005208795,0.000006907498,0.000009531537],"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":[0.00001854573,0.00001193337,0.00002990474,0.00003517345,0.000003429019,0.00005903796,0.00001182338,0.0000957263,0.9981588,0.00006897038,0.00002958263,0.001477097],"study_design_scores_gemma":[0.000004160482,0.00005829124,0.0003484702,0.000002329527,0.00000558946,0.0000547143,0.000006294908,0.0008873121,0.9979399,0.00002248026,0.0006662423,0.000004164364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772016,0.001426155,0.01707669,0.0001720229,0.00005495075,0.00005606931,0.0002829401,0.0003515495,0.003378016],"genre_scores_gemma":[0.9884943,0.0004105353,0.00837816,0.00004020065,0.000009457583,0.00003124122,0.0001297813,0.00003098078,0.002475399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001085283,"threshold_uncertainty_score":0.003630638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009777067093326874,"score_gpt":0.2433963120224244,"score_spread":0.2336192449290975,"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."}}