{"id":"W3111277882","doi":"10.1021/acs.iecr.0c04568","title":"Excellent Low-Temperature Formaldehyde Decomposition Performance over Pt Nanoparticles Directly Loaded on Cellulose Triacetate","year":2020,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Cellulose triacetate; Catalysis; Decomposition; Formaldehyde; Microcrystalline cellulose; Adsorption; Fourier transform infrared spectroscopy; Materials science; Nanoparticle; Cellulose; Chemistry; Chemical engineering; Inorganic chemistry; Physical chemistry; Nanotechnology; Organic 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":[0.00009972327,0.0003987438,0.0002491969,0.0002114599,0.0001228272,0.0002312503,0.0002202016,0.0003071738,0.001024335],"category_scores_gemma":[0.0001844244,0.0001742,0.0002181524,0.0002138215,0.0001402587,0.0002429809,0.0001283624,0.0002837749,0.0004465586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894535,"about_ca_system_score_gemma":0.0001842004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478217,"about_ca_topic_score_gemma":0.002536403,"domain_scores_codex":[0.9999069,0.000005004518,0.000007958547,0.00002944948,0.00002767285,0.00002294385],"domain_scores_gemma":[0.9999182,0.00001736889,0.00001942499,0.000009263314,0.00002179364,0.00001391851],"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":[0.00002822717,0.000003995492,0.00005245381,0.00002077094,0.000002333332,0.00003512278,0.000004755065,0.00004755684,0.999081,0.00002270744,0.00001719805,0.0006837291],"study_design_scores_gemma":[0.000002071674,0.0000423139,0.0004324466,0.000001532976,0.000005872892,0.00003657164,0.000003958308,0.0004511559,0.9987141,0.0000041995,0.0003040752,0.000001709112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914184,0.0009633332,0.00470294,0.00007544283,0.00004405967,0.00001854821,0.000176223,0.0001400372,0.002460985],"genre_scores_gemma":[0.9944571,0.000480564,0.00259467,0.00002783091,0.000007793379,0.00001370815,0.0001540199,0.00003274314,0.002231605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001478217,"threshold_uncertainty_score":0.003426731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0553822557257622,"score_gpt":0.3097794610035761,"score_spread":0.2543972052778139,"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."}}