{"id":"W2913485659","doi":"10.1002/masy.201800026","title":"Polymer Additives as Cold Flow Improvers for Palm Oil Methyl Esters","year":2019,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal do Paraná; Réseau Provincial de Recherche en Adaptation-Réadaptation; Petrobras","keywords":"Biodiesel; Diesel fuel; Pour point; Raw material; Acrylate; Polymer; Chemistry; Methyl methacrylate; Biofuel; Chemical engineering; Palm oil; Materials science; Organic chemistry; Methyl acrylate; Pulp and paper industry; Copolymer; Waste management; Food science; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00006673537,0.0001743932,0.0001546255,0.00006087167,0.0000687453,0.00005433026,0.0001496627,0.00009066793,0.0001938007],"category_scores_gemma":[0.000009454313,0.000186147,0.000122109,0.0001487952,0.00003640397,0.00007484106,0.00002431566,0.0001037819,0.0004466887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004267677,"about_ca_system_score_gemma":0.00001770641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001201097,"about_ca_topic_score_gemma":0.000001719745,"domain_scores_codex":[0.9991612,0.00001453254,0.0001549401,0.0002847678,0.0001163379,0.0002681898],"domain_scores_gemma":[0.9994607,0.00002870692,0.00002667073,0.00035768,0.00003842052,0.00008781668],"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":[0.00001089575,0.00002193865,0.00002119014,0.00009612385,0.0001174259,0.000002126576,0.0001539278,0.000480591,0.9807539,0.006599596,0.005055109,0.006687196],"study_design_scores_gemma":[0.0004740715,0.00004925731,0.00003376366,0.00001753042,0.00003491037,0.000009669181,0.00008081362,0.004625731,0.6958078,0.0000466994,0.298548,0.0002718128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7947887,0.01083254,0.04985047,0.007414647,0.006727463,0.003567633,0.001271381,0.003328393,0.1222188],"genre_scores_gemma":[0.988332,0.0001161431,0.003232593,0.0005757967,0.0001472444,0.0003968646,0.0001218309,0.0000931992,0.006984315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934929,"threshold_uncertainty_score":0.7590855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003408476187966324,"score_gpt":0.1985578611460499,"score_spread":0.1951493849580835,"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."}}