{"id":"W2092195928","doi":"10.4314/jas.v15i1.19980","title":"Determination of Cholecalciferol Levels in Cod Liver Oil using High Performance Liquid Chromatography with Mild Saponification and Reversed Phase Cleanup Procedure","year":2000,"lang":"en","type":"article","venue":"Journal of Aquatic Sciences","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Saponification; Cholecalciferol; Cod liver oil; Ergocalciferol; Chromatography; Chemistry; Unsaponifiable; High-performance liquid chromatography; Vitamin; Vitamin D and neurology; Saponification value; Food science; Internal medicine; Biochemistry; Fatty acid; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001835074,0.000470613,0.0003040481,0.0007815567,0.0004732589,0.0003709988,0.0002044671,0.0002681917,0.0005576669],"category_scores_gemma":[0.0004065031,0.0001609534,0.0001940421,0.0005015532,0.0005411039,0.0001421244,0.0002377379,0.0004675406,0.0003077434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007791151,"about_ca_system_score_gemma":0.001483075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04623694,"about_ca_topic_score_gemma":0.09959377,"domain_scores_codex":[0.9996769,0.00002736289,0.00001787068,0.00005524668,0.0001732733,0.00004929954],"domain_scores_gemma":[0.9997391,0.00005217395,0.00003091204,0.00001522373,0.0001183698,0.00004428794],"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":[0.0001729757,0.00002532015,0.003342697,0.00004619534,0.00001209107,0.00004818072,0.0000413416,0.00005091063,0.9911777,0.00002527533,0.00003304093,0.005024165],"study_design_scores_gemma":[0.00002986054,0.0006282763,0.09077705,0.00001838311,0.00005867536,0.0006286845,0.0001258519,0.001139186,0.9035087,0.00007776654,0.002971197,0.00003638506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840941,0.001614687,0.01162072,0.00009485868,0.00002427307,0.0001549656,0.0005563562,0.0001340126,0.001706004],"genre_scores_gemma":[0.9516922,0.002078995,0.03728176,0.0002135589,0.00001552161,0.0001884438,0.00156841,0.00002949096,0.006931724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04623694,"threshold_uncertainty_score":0.09193563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897816810932222,"score_gpt":0.2810396684378034,"score_spread":0.2520615003284811,"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."}}