{"id":"W2616897753","doi":"10.1016/j.chemphyslip.2017.05.006","title":"Improvement of 5,6α-epoxycholesterol, 5,6β-epoxycholesterol, cholestane-3β,5α,6β-triol and 6-oxo-cholestan-3β,5α-diol recovery for quantification by GC/MS","year":2017,"lang":"en","type":"article","venue":"Chemistry and Physics of Lipids","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ohio Coal Development Office; Institut National de la Santé et de la Recherche Médicale; CNIB; Fondation de France; European Commission; Association pour la Recherche sur le Cancer","keywords":"Chemistry; Oxysterol; Triol; Chromatography; Gas chromatography; Solid phase extraction; Cholestane; Gas chromatography–mass spectrometry; Sterol; Diol; Stereochemistry; Mass spectrometry; Cholesterol; Biochemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590195,0.0017108,0.0006586748,0.001211788,0.0007538451,0.0005636063,0.0007606413,0.001113916,0.003213213],"category_scores_gemma":[0.002370524,0.0005021483,0.0005962705,0.0005196978,0.0005356776,0.000710518,0.0006024342,0.00111576,0.002058415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877965,"about_ca_system_score_gemma":0.001142823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002553437,"about_ca_topic_score_gemma":0.005576577,"domain_scores_codex":[0.9984438,0.0001991157,0.00007416435,0.0004440429,0.000662935,0.0001759816],"domain_scores_gemma":[0.9991403,0.0001674675,0.00005906051,0.0001067176,0.0004815786,0.00004484423],"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":[0.000131202,0.0000351833,0.0003648098,0.00006452084,0.00001923926,0.00005649235,0.00004267704,0.0001027867,0.9907364,0.0001556907,0.0002464794,0.008044533],"study_design_scores_gemma":[0.000009350119,0.0000677542,0.001022649,0.000009856726,0.00003114241,0.0001445343,0.00001987455,0.002346172,0.9921581,0.0001251838,0.004050269,0.00001524511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4409385,0.01058066,0.5252033,0.001272875,0.001654978,0.0007921024,0.00259927,0.007053518,0.009904775],"genre_scores_gemma":[0.6173597,0.00483561,0.3547555,0.001692763,0.0002793667,0.000887066,0.003324579,0.001316365,0.01554904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003213213,"threshold_uncertainty_score":0.01074934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196429052230874,"score_gpt":0.2846891286815675,"score_spread":0.2650462234584801,"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."}}