{"id":"W2472771784","doi":"10.1002/cssc.201600313","title":"Direct Conversion of Mono‐ and Polysaccharides into 5‐Hydroxymethylfurfural Using Ionic‐Liquid Mixtures","year":2016,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; École Polytechnique Fédérale de Lausanne; National University of Singapore","keywords":"Ionic liquid; Methyl isobutyl ketone; Biomass (ecology); Petrochemical; Chemistry; Lignocellulosic biomass; Cellulose; Yield (engineering); Raw material; 5-hydroxymethylfurfural; Catalysis; Organic chemistry; Extraction (chemistry); Chemical engineering; Biofuel; Pulp and paper industry; Solvent; Waste management; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001189346,0.0001815618,0.0002600059,0.0001319524,0.00004547487,0.00001140568,0.000134513,0.0001255861,0.0000696424],"category_scores_gemma":[0.0000424959,0.0001420898,0.0000976776,0.0001704983,0.000117371,0.0002124929,0.0001032469,0.00005744547,0.00001407419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085638,"about_ca_system_score_gemma":0.00001519347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007644409,"about_ca_topic_score_gemma":0.000002735268,"domain_scores_codex":[0.999181,0.00001104503,0.0002248188,0.0002185603,0.0001544971,0.000210048],"domain_scores_gemma":[0.9994518,0.00008083953,0.00005953469,0.0002659638,0.00004308015,0.00009877794],"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":[0.00003731553,0.000007814445,0.0004969521,0.0001202562,0.0000624844,0.000002402166,0.0001649366,0.00001939135,0.9975168,0.00001261997,0.000247178,0.001311838],"study_design_scores_gemma":[0.0004448975,0.00003148869,0.00009156877,0.00007885083,0.00004637183,0.000005889141,0.00004850931,0.002289031,0.9958639,0.00002281543,0.000879479,0.0001971647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996817,0.001759941,0.0006018212,0.00005601333,0.0001859289,0.00007517652,0.000008253687,0.0001449823,0.0003508707],"genre_scores_gemma":[0.9988542,0.0001617761,0.0008302287,0.00001108584,0.00005107377,0.000002717322,0.000005670949,0.00003101731,0.00005223219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00226964,"threshold_uncertainty_score":0.5794255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064213125503431,"score_gpt":0.2068457286415668,"score_spread":0.1987815155160633,"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."}}