{"id":"W2102844621","doi":"10.1002/adfm.200800982","title":"Magnetic Multi‐Functional Nano Composites for Environmental Applications","year":2009,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Materials science; Composite number; Nanoparticle; Molecular sieve; Zeolite; Thermal stability; Environmentally friendly; Ion exchange; Magnetic separation; Chemical engineering; Nanotechnology; Composite material; Adsorption; Catalysis; Ion; Organic chemistry; Metallurgy","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":[0.00009517928,0.0002752258,0.000112152,0.0003116885,0.0001739867,0.0002393657,0.000182793,0.0003328511,0.003241113],"category_scores_gemma":[0.00006511908,0.0001077483,0.0001455147,0.00007146002,0.0001181548,0.000213327,0.0001498674,0.0002566252,0.0008793465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978044,"about_ca_system_score_gemma":0.0001301561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079357,"about_ca_topic_score_gemma":0.0003903364,"domain_scores_codex":[0.9999508,0.000007615697,0.00000200545,0.00001054079,0.00002026126,0.000008806411],"domain_scores_gemma":[0.9999623,0.000008457486,0.000005895848,0.000003455472,0.00001175269,0.000008094886],"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":[0.00004505114,0.00003200658,0.00006789855,0.0001127286,0.000005551613,0.000065363,0.000009249825,0.0003629652,0.9796807,0.001717779,0.0006246443,0.01727605],"study_design_scores_gemma":[0.00002231859,0.0001984453,0.0006599387,0.00001695433,0.00002068368,0.000414178,0.00001618244,0.004101872,0.9321592,0.001254203,0.0611258,0.00001012133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6424259,0.04077421,0.2019318,0.002788102,0.001419755,0.0002160782,0.0005618553,0.004052212,0.1058301],"genre_scores_gemma":[0.9340569,0.003478293,0.04440283,0.0003690568,0.0001541892,0.00006632663,0.0001992341,0.0001098304,0.01716336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003241113,"threshold_uncertainty_score":0.01084262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148219929478497,"score_gpt":0.2258509696757732,"score_spread":0.2143687703809882,"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."}}