{"id":"W2052239099","doi":"10.1016/j.fuproc.2014.03.007","title":"Optimization of glycerol ketalization to produce solketal as biodiesel additive in a continuous reactor with subcritical acetone using Purolite® PD206 as catalyst","year":2014,"lang":"en","type":"article","venue":"Fuel Processing Technology","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Isfahan University of Technology","keywords":"Acetone; Yield (engineering); Chemistry; Catalysis; Glycerol; Biodiesel; Central composite design; Volumetric flow rate; Organic chemistry; Nuclear chemistry; Response surface methodology; Chromatography; Materials science; Thermodynamics; Metallurgy","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":[0.0002081379,0.0004211967,0.0003523721,0.0002808191,0.0002272309,0.0005309195,0.0003734184,0.0002610412,0.0005980084],"category_scores_gemma":[0.0001910302,0.0001885345,0.0003402689,0.0003550935,0.0001836574,0.0002773923,0.0002020346,0.0003427815,0.0003374579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003562876,"about_ca_system_score_gemma":0.0004285758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379119,"about_ca_topic_score_gemma":0.005099942,"domain_scores_codex":[0.9997949,0.00002489858,0.00002158302,0.00004812124,0.000064173,0.00004637375],"domain_scores_gemma":[0.9999367,0.00001311466,0.00001459111,0.000007046488,0.00001664991,0.00001186597],"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":[0.0003509402,0.0001208152,0.0003244123,0.00009480266,0.00001257872,0.00007640613,0.00002431861,0.0006248907,0.9949686,0.00006009409,0.00003721064,0.003304969],"study_design_scores_gemma":[0.000009939251,0.0001747124,0.0007112664,0.00000202616,0.00001644147,0.00002233471,0.00001659191,0.0009883906,0.9976579,0.000007502111,0.000387131,0.000005801734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972436,0.0003308846,0.001424885,0.00002878983,0.00001268833,0.00002019952,0.0001051368,0.00004292802,0.0007907785],"genre_scores_gemma":[0.9973798,0.0002968411,0.001531042,0.000007133483,0.000002667737,0.000008953844,0.0001030534,0.00001256662,0.0006578937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002379119,"threshold_uncertainty_score":0.004730523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005281624394462608,"score_gpt":0.2187371646145713,"score_spread":0.2134555402201087,"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."}}