{"id":"W4387107476","doi":"10.1016/j.cej.2023.146305","title":"Ultralong hydroxyapatite nanowires-based flow-through reactor with high loading of silver nanoparticles for fast continuous catalytic reduction of organic dyes and disinfection of wastewater","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; China Scholarship Council; Canada Foundation for Innovation","keywords":"Chemical engineering; Noble metal; Materials science; Catalysis; Wastewater; Nanoparticle; Nanomaterials; Photocatalysis; Nanotechnology; Chemistry; Metal; Waste management; Metallurgy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001181746,0.0001585382,0.000358501,0.00009362268,0.0000308318,0.0000197108,0.00008183393,0.00009303906,0.0000241436],"category_scores_gemma":[0.0001599996,0.0001343203,0.0000882139,0.0002053389,0.00008582804,0.000188106,0.00001791786,0.000112972,7.484558e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007551015,"about_ca_system_score_gemma":0.00003983539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105715,"about_ca_topic_score_gemma":4.191218e-7,"domain_scores_codex":[0.9989481,0.000004337403,0.0004944664,0.0001597356,0.0001745371,0.0002188254],"domain_scores_gemma":[0.9992651,0.0001151404,0.0002733976,0.0001617306,0.0001140173,0.00007056307],"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":[0.0001079525,0.0000500435,0.0002729438,0.0006548664,0.00009839691,0.000002332503,0.0002065637,0.002573512,0.9958866,0.000006365637,0.00001538816,0.0001250744],"study_design_scores_gemma":[0.0009651455,0.00006830139,0.0001271105,0.0004838078,0.0001259852,0.000148861,0.00007097387,0.002808997,0.9950246,0.00002705008,0.00001407563,0.0001350906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99855,0.00002842784,0.001058305,0.0000226327,0.0001535177,0.00007931026,0.00004571203,0.00005612597,0.000005983922],"genre_scores_gemma":[0.9974731,0.00001043003,0.002281042,4.932934e-7,0.0001091013,0.000009398013,0.00005498276,0.00004236132,0.00001905632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001222737,"threshold_uncertainty_score":0.5477422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544620617157389,"score_gpt":0.1990425470181909,"score_spread":0.1924979264010336,"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."}}