{"id":"W2058888930","doi":"10.1007/s11745-010-3433-0","title":"Sitosterol Thermo‐oxidative Degradation Leads to the Formation of Dimers, Trimers and Oligomers: A Study Using Combined Size Exclusion Chromatography/Mass Spectrometry","year":2010,"lang":"en","type":"article","venue":"Lipids","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"Komitet Badań Naukowych; Alberta Agricultural Research Institute","keywords":"Chemistry; Mass spectrometry; Phytosterol; Dimer; Atmospheric-pressure chemical ionization; Chromatography; Size-exclusion chromatography; Tandem mass spectrometry; Chemical structure; Mass spectrum; Oligomer; Chemical ionization; Ionization; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597626,0.0003298526,0.0002209267,0.0005698365,0.0001837777,0.0002555999,0.0001154354,0.0002097165,0.0007830398],"category_scores_gemma":[0.0001564499,0.0001748513,0.0003370821,0.0003079244,0.0002088152,0.0002154731,0.0001571198,0.0004191379,0.0003703657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009920078,"about_ca_system_score_gemma":0.00009392979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003437431,"about_ca_topic_score_gemma":0.0003217343,"domain_scores_codex":[0.9998926,0.00002011402,0.000009589198,0.00002203652,0.00002896626,0.00002671133],"domain_scores_gemma":[0.9998645,0.00002552769,0.00003824833,0.0000159008,0.00002707682,0.00002877111],"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":[0.000251969,0.00006291913,0.001565713,0.00004215429,0.00002678131,0.000114505,0.00005671095,0.00002380464,0.995824,0.00004680749,0.00001993751,0.00196459],"study_design_scores_gemma":[0.00001443485,0.0007302329,0.02880941,0.00001455823,0.00009460972,0.001655623,0.0001267698,0.0006845882,0.9652627,0.00008527613,0.002507978,0.00001385204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930885,0.003903463,0.002045691,0.00004224366,0.0000151277,0.00002471662,0.0001594323,0.00001774366,0.0007029668],"genre_scores_gemma":[0.9934658,0.002935828,0.001600245,0.00005766652,0.00001496555,0.00001912893,0.0004237285,0.00001413543,0.00146848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007830398,"threshold_uncertainty_score":0.002619505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511507050458134,"score_gpt":0.2721950392404688,"score_spread":0.2570799687358875,"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."}}