{"id":"W2001778584","doi":"10.1007/s10562-010-0493-y","title":"New Process for the Acid-Catalyzed Conversion of Cellulosic Biomass (AC3B) into Alkyl Levulinates and Other Esters Using a Unique One-Pot System of Reaction and Product Extraction","year":2010,"lang":"en","type":"article","venue":"Catalysis Letters","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Chemistry; Cellulosic ethanol; Raw material; Yield (engineering); Organic chemistry; Catalysis; Gasoline; Distillation; Extraction (chemistry); Vacuum distillation; Diesel fuel; Cellulose; Biomass (ecology); Diethyl ether; Biodiesel; Kerosene; Biofuel; Waste management","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":[0.0002914401,0.0005994776,0.0005954765,0.0004154744,0.0004611513,0.0004600659,0.0006768949,0.0005910004,0.001178775],"category_scores_gemma":[0.0001123288,0.0003641682,0.000438361,0.0003222285,0.0003626798,0.001062634,0.0006790448,0.00112286,0.0008376932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994715,"about_ca_system_score_gemma":0.0004320094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003788193,"about_ca_topic_score_gemma":0.0006400122,"domain_scores_codex":[0.9998103,0.00001830749,0.00001809655,0.00005154543,0.00006383596,0.00003790048],"domain_scores_gemma":[0.9999369,0.000008487635,0.00001116646,0.00001220614,0.00001271442,0.0000183861],"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":[0.00008327947,0.00007021158,0.00007816371,0.0001089286,0.00001388196,0.0001293738,0.00004221767,0.0001472225,0.9856305,0.0007324407,0.0001771725,0.01278674],"study_design_scores_gemma":[0.0000262855,0.0001713209,0.0002696321,0.000003871372,0.00002237938,0.0003769375,0.00001151287,0.001312533,0.9923849,0.0001485164,0.005251816,0.00002031108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6458971,0.004542343,0.3352033,0.0005092315,0.0004740805,0.0004272352,0.0006614786,0.001455995,0.01082929],"genre_scores_gemma":[0.8470451,0.002584089,0.1340149,0.0002193908,0.0001046628,0.0002755241,0.0009988833,0.0001417853,0.0146156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001178775,"threshold_uncertainty_score":0.003943384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284990948019494,"score_gpt":0.2330704439321014,"score_spread":0.2202205344519065,"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."}}