{"id":"W2346796514","doi":"10.1002/ejlt.201600040","title":"Distribution of glucosinolates in camelina seed fractions by HPLC‐ESI‐MS/MS","year":2016,"lang":"en","type":"article","venue":"European Journal of Lipid Science and Technology","topic":"Moringa oleifera research and applications","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Camelina sativa; Glucosinolate; Camelina; Chromatography; Chemistry; High-performance liquid chromatography; Electrospray ionization; Mass spectrometry; Electrospray; Sinigrin; Glucoraphanin; Chromatography detector; Brassica; Botany; Food science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001047562,0.00006120111,0.000118284,0.00008195182,0.0001581614,0.00002511904,0.0004127569,0.00002793654,0.00003133226],"category_scores_gemma":[0.0004162716,0.00002160348,0.00002296746,0.001093457,0.0006217849,0.0002233047,0.00009521496,0.0001486038,0.0000085775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003181497,"about_ca_system_score_gemma":0.00002850069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001889175,"about_ca_topic_score_gemma":0.00001298488,"domain_scores_codex":[0.9990743,0.00005837104,0.0002797547,0.0001467112,0.0002239081,0.0002169434],"domain_scores_gemma":[0.9992922,0.00008744597,0.0001820237,0.00005576071,0.0002928855,0.00008966948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000007682983,0.00005647176,0.02483133,9.642764e-7,0.000001705557,0.000003184876,0.000007568886,1.332008e-7,0.8884558,0.000741643,0.0004133235,0.08548018],"study_design_scores_gemma":[0.0004120916,0.001116059,0.7414451,0.0001001312,0.000005017255,0.0001030017,0.0002236593,0.00002079521,0.1797382,0.0009754977,0.0757235,0.0001368835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894102,0.0001353815,0.0001216442,0.009749454,0.00003765544,0.00005481782,0.00002001838,0.00001326653,0.0004575405],"genre_scores_gemma":[0.9994074,0.0003609064,0.00008036713,0.00001624042,0.00007045753,0.000001249036,0.000001315847,5.637694e-7,0.00006154932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7166138,"threshold_uncertainty_score":0.2290992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352237412879816,"score_gpt":0.2342292467101693,"score_spread":0.2207068725813712,"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."}}