{"id":"W2035718755","doi":"10.1016/j.clay.2008.10.004","title":"Clay mineral-supported gold nanoparticles","year":2008,"lang":"en","type":"article","venue":"Applied Clay Science","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Ontario Innovation Trust","keywords":"Sepiolite; Montmorillonite; Palygorskite; Colloidal gold; High-resolution transmission electron microscopy; Clay minerals; Calcination; Chemical engineering; Materials science; Nanoparticle; Mineralogy; Adsorption; Mineral; Transmission electron microscopy; Chemistry; Nanotechnology; Catalysis; Metallurgy; Composite material; Organic chemistry","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":[0.0001739804,0.0002876949,0.0001710537,0.0002370306,0.0001553296,0.0003379525,0.0003135334,0.000415988,0.001443756],"category_scores_gemma":[0.0003009513,0.0001672628,0.0001529581,0.00009304172,0.0001728204,0.0002478491,0.0003182649,0.0003310403,0.0004302762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004342988,"about_ca_system_score_gemma":0.0001402039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006496279,"about_ca_topic_score_gemma":0.001322563,"domain_scores_codex":[0.9998292,0.00001877717,0.00001200596,0.0000415247,0.00005622778,0.00004214593],"domain_scores_gemma":[0.999922,0.00002287359,0.00001112883,0.00001272013,0.00001855503,0.00001271842],"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":[0.0001083894,0.00001924806,0.0001021063,0.0000795549,0.000009129659,0.00008551811,0.00004278735,0.0003237948,0.9950351,0.0007553345,0.0002780136,0.003161053],"study_design_scores_gemma":[0.00000842894,0.00006180512,0.0002272763,0.000002601748,0.000005665316,0.00003044275,0.00001504356,0.001602125,0.9965236,0.00008817272,0.001431593,0.000003210635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824519,0.001037435,0.004389796,0.0002347602,0.0001422805,0.00002007864,0.00009158731,0.0001859945,0.0114462],"genre_scores_gemma":[0.9944496,0.0002103347,0.001188558,0.00004341198,0.0000118143,0.000005083791,0.00007577517,0.00001375963,0.004001637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443756,"threshold_uncertainty_score":0.004829824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914056339733498,"score_gpt":0.2432846593350325,"score_spread":0.2241440959376976,"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."}}