{"id":"W2964416005","doi":"10.1155/2019/5785621","title":"Cellulose Conversion to 5 Hydroxymethyl Furfural (5-HMF) Using Al-Incorporated SBA-15 as Highly Efficient Catalyst","year":2019,"lang":"en","type":"article","venue":"Journal of Chemistry","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Vietnam Academy of Science and Technology","keywords":"Chemistry; Furfural; Catalysis; Cellulose; Hydroxymethyl; Selectivity; Yield (engineering); Nuclear chemistry; Desorption; Adsorption; Thermal desorption spectroscopy; Transmission electron microscopy; Inorganic chemistry; Organic chemistry; Chemical engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002883569,0.0002546845,0.0004230906,0.0001368869,0.00003869555,0.00004949067,0.0003539089,0.000162881,0.0004597423],"category_scores_gemma":[0.00003670661,0.0002478778,0.0002636396,0.0004821066,0.00002880764,0.0001576315,0.0001024828,0.0003324861,0.0003698931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005244249,"about_ca_system_score_gemma":0.00009633083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002293626,"about_ca_topic_score_gemma":4.196906e-7,"domain_scores_codex":[0.9983348,0.00001505255,0.0005741044,0.0002067502,0.0005634759,0.0003058648],"domain_scores_gemma":[0.9987657,0.00004262102,0.0003027987,0.0003505096,0.0002085585,0.00032978],"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":[0.00007350023,0.00003633231,0.0002913037,0.0001388872,0.0001042287,0.00009958017,0.0001226937,0.04489499,0.9507841,3.75493e-7,0.00333192,0.0001220169],"study_design_scores_gemma":[0.0008315626,0.00004547351,0.00004923402,0.0001370037,0.00009577213,0.00026172,0.0001849007,0.03830614,0.9545113,0.000003776098,0.005296795,0.0002762614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973653,0.0003645977,0.000307278,0.0001204135,0.0008147424,0.00009630743,0.000009619473,0.00005980238,0.0008619387],"genre_scores_gemma":[0.9987262,0.00001185547,0.0005183297,0.00007842722,0.0001373808,4.882158e-7,0.0000311952,0.00004538978,0.0004506856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006588848,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005177678407919196,"score_gpt":0.2020045569292752,"score_spread":0.196826878521356,"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."}}