{"id":"W2103879114","doi":"10.1007/s11746-007-1113-x","title":"Separation and Quantification of Vegetable Oil Based Polyols by High Performance Liquid Chromatography with Evaporative Light Scattering Detection","year":2007,"lang":"en","type":"article","venue":"Journal of the American Oil Chemists Society","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Agricultural Research Institute; Natural Sciences and Engineering Research Council of Canada; Alberta Crop Industry Development Fund","keywords":"Chromatography detector; Polyol; Chromatography; Triol; High-performance liquid chromatography; Diol; Chemistry; Calibration curve; Ozonolysis; Detection limit; Organic chemistry; Polyurethane","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":[0.0006297127,0.0001474578,0.0003183072,0.00003322942,0.0001674175,0.00002836536,0.0001811512,0.00006334091,0.0000104321],"category_scores_gemma":[0.00002775987,0.0001058191,0.0002074024,0.0005382036,0.0003871796,0.0001948217,0.00002027275,0.0002636345,2.492992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009296623,"about_ca_system_score_gemma":0.00006651787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007581185,"about_ca_topic_score_gemma":0.000008202232,"domain_scores_codex":[0.9987713,0.00002653915,0.0004688961,0.000158007,0.0004064571,0.0001688731],"domain_scores_gemma":[0.9977062,0.00008506265,0.001661607,0.0002230687,0.0002521972,0.0000718915],"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":[0.0002348697,0.00007370055,0.002248039,0.0005626912,0.0001732124,2.769257e-7,0.0005720208,0.0001713135,0.993592,7.119654e-7,0.00006444752,0.002306727],"study_design_scores_gemma":[0.0003757504,0.00009882994,0.0005286938,0.000326839,0.0001376499,0.00001705388,0.001194705,0.0006042598,0.9963558,0.000001934398,0.0002290983,0.0001293905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99789,0.0003703754,0.001064084,0.0003126778,0.00002174427,0.00000744939,0.000005756671,0.00001155221,0.0003163831],"genre_scores_gemma":[0.9980816,0.0007101803,0.0008190616,0.0001022555,0.0001033908,0.000002132062,0.000004973135,0.00001446245,0.0001619433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002763805,"threshold_uncertainty_score":0.431518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007007578740828787,"score_gpt":0.2465933681300985,"score_spread":0.2395857893892697,"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."}}