{"id":"W2748260380","doi":"10.1139/cjc-2017-0003","title":"Experimental and modelling liquid–liquid equilibrium for the system 2-ethyl-1-hexanol + glycerol","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"UNIQUAC; Upper critical solution temperature; Chemistry; Thermodynamics; Phase equilibrium; Liquid phase; Liquid liquid; Cloud point; Work (physics); Phase (matter); Binary system; Hexanol; Glycerol; Chromatography; Binary number; Non-random two-liquid model; Organic chemistry; Activity coefficient; Lower critical solution temperature; Alcohol; Aqueous solution; Mathematics; Physics; Extraction (chemistry); Polymer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001666473,0.000128079,0.0001762575,0.00003579144,0.000269326,0.0001507758,0.0004276914,0.00009894849,0.00002519335],"category_scores_gemma":[0.00002459913,0.000110722,0.0001216824,0.0000206576,0.0000959579,0.0001790477,0.00002308822,0.0001403118,0.000001619991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738671,"about_ca_system_score_gemma":0.0001741623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002854492,"about_ca_topic_score_gemma":0.00006933847,"domain_scores_codex":[0.9993033,0.000003184905,0.0002311886,0.00009412425,0.0001043527,0.0002637947],"domain_scores_gemma":[0.999048,0.00003180909,0.0001321951,0.0003277388,0.00006716343,0.0003931206],"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":[0.00009618475,0.000002291896,0.00001980137,0.0002103174,0.0001361995,0.00004626422,0.0003996239,0.006883071,0.9910943,0.000009188749,0.0009820313,0.000120716],"study_design_scores_gemma":[0.0004652945,0.00004554076,0.000003767819,0.0001103411,0.00004849257,0.0002199231,0.0007172116,0.04891195,0.9452336,0.00000186459,0.004106097,0.0001359558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928256,0.003139362,0.00248613,0.0001811664,0.0004104371,0.00008310635,0.00002426663,0.00001499209,0.0008349137],"genre_scores_gemma":[0.9994373,0.000008654862,0.0001043038,0.00001095082,0.0003291002,0.000004912224,0.000003100811,0.00002838785,0.00007323259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04586075,"threshold_uncertainty_score":0.4515113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310054797064564,"score_gpt":0.2054789472719039,"score_spread":0.1923783993012583,"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."}}