{"id":"W26721930","doi":"10.1093/jaoac/94.2.459","title":"Determination of Anthocyanins in Cranberry Fruit and Cranberry Fruit Products by High-Performance Liquid Chromatography with Ultraviolet Detection: Single-Laboratory Validation","year":2011,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Centers for Disease Control and Prevention","keywords":"Chromatography; Chemistry; High-performance liquid chromatography; Anthocyanin; Calibration curve; Vaccinium; Peonidin; Elution; Detection limit; Cyanidin; Food science; Botany","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":[0.000251745,0.0001393011,0.0002853866,0.0003803076,0.00003057675,0.00001557983,0.00009745607,0.00008092547,0.00004423436],"category_scores_gemma":[0.00007011281,0.0001139383,0.00004600132,0.0002375524,0.0001562051,0.0006460709,0.00001487384,0.0002285063,5.830705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000069758,"about_ca_system_score_gemma":0.00008361375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000158976,"about_ca_topic_score_gemma":0.000004264,"domain_scores_codex":[0.9987773,0.00002546606,0.0004989802,0.0001538466,0.0004216448,0.0001227937],"domain_scores_gemma":[0.9986857,0.0000363886,0.0005455525,0.000089623,0.0005838737,0.00005891358],"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":[0.001396679,0.0005193998,0.02364296,0.0001060778,0.0000814015,0.00002442691,0.000552843,0.000001944991,0.9717891,0.00001554293,0.00005354899,0.001816064],"study_design_scores_gemma":[0.001529904,0.001421965,0.08683611,0.0005718252,0.00005579723,0.0003554626,0.0001415077,0.00007176846,0.9087537,0.00003953408,0.0001124262,0.0001100293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998383,0.0001568815,0.0005519299,0.0001710527,0.0002217709,0.0001267038,0.000022244,0.00001000352,0.0003563753],"genre_scores_gemma":[0.9975111,0.0001885578,0.001985945,0.00004898317,0.000206868,0.000005219295,0.00001037759,0.00001634327,0.00002655126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06319315,"threshold_uncertainty_score":0.464627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323988829073888,"score_gpt":0.2260606807464244,"score_spread":0.2128207924556855,"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."}}