{"id":"W345690263","doi":"10.1016/j.energy.2015.04.011","title":"Mitigating crystallization of saturated FAMES (fatty acid methyl esters) in biodiesel. 3. The binary phase behavior of 1,3-dioleoyl-2-palmitoyl glycerol – Methyl palmitate – A multi-length scale structural elucidation of mechanism responsible for inhibiting FAME crystallization","year":2015,"lang":"en","type":"article","venue":"Energy","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Industry Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Grain Farmers of Ontario","keywords":"Crystallization; Differential scanning calorimetry; Microstructure; Biodiesel; Phase diagram; Liquidus; Crystal (programming language); Nucleation; Materials science; Chemical engineering; Fatty acid; Phase (matter); Chemistry; Crystallography; Thermodynamics; Organic chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000549529,0.0002313037,0.0003656889,0.0003178224,0.0000904795,0.0000226989,0.0001841995,0.0001552036,0.000008262791],"category_scores_gemma":[0.0002608446,0.0002052969,0.00009352814,0.0008261139,0.0001270461,0.0002919199,0.0000616695,0.0001266458,3.182723e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007964568,"about_ca_system_score_gemma":0.00007082175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000139551,"about_ca_topic_score_gemma":0.000164435,"domain_scores_codex":[0.9982032,0.0001730675,0.0008332818,0.0002881185,0.0002622705,0.0002400636],"domain_scores_gemma":[0.9985783,0.0001286958,0.0004158631,0.0003055342,0.0005042312,0.00006744754],"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":[0.000116748,0.00007850703,0.00009778725,0.0001131676,0.00003809607,3.412874e-7,0.001867751,0.02473781,0.9661795,0.001181009,0.0000286488,0.005560645],"study_design_scores_gemma":[0.001672296,0.0001349719,0.0002709265,0.0000848774,0.00005588347,0.00000284442,0.002289101,0.1111048,0.8834436,0.000673433,0.00008684924,0.0001804228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.838728,0.0003968805,0.1597125,0.0001257526,0.0001647452,0.0005830395,0.0001399954,0.0001032724,0.00004581064],"genre_scores_gemma":[0.9657328,0.00007399284,0.03351003,0.00001341145,0.00004667243,0.0002171688,0.0003445599,0.00004055618,0.00002079792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270048,"threshold_uncertainty_score":0.8371766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03594384228810117,"score_gpt":0.2853499934079125,"score_spread":0.2494061511198113,"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."}}