{"id":"W2747646578","doi":"10.5740/jaoacint.smpr2017_003","title":"AOAC SMPR® 2017.003:Standard Method Performance Requirements (SMPRs) for Quantitation of Proanthocyanidin Content in Cranberry Fruit, Juice, Beverage, Dried Cranberry, Cranberry Sauce, Ingredients (Concentrates, Extracts, and Powders), and Dietary Supplement Formulations","year":2017,"lang":"en","type":"article","venue":"Journal of AOAC International","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"CRANBERRY JUICE; Food science; Proanthocyanidin; Chemistry; Fruit juice; Polyphenol; Medicine; Antioxidant; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06863397,0.005097199,0.002594502,0.009297218,0.005071441,0.003919745,0.00825444,0.01286269,0.009423733],"category_scores_gemma":[0.0770377,0.004012694,0.004659918,0.004068065,0.002801902,0.003674022,0.004315067,0.003935334,0.02230971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495657,"about_ca_system_score_gemma":0.01047154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008575596,"about_ca_topic_score_gemma":0.01126231,"domain_scores_codex":[0.8917606,0.05443518,0.01175897,0.004521983,0.03546596,0.002057408],"domain_scores_gemma":[0.9389752,0.01923971,0.007432825,0.007906728,0.02544364,0.001001957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004036047,0.003920743,0.0244924,0.004809608,0.0006007413,0.00148632,0.001897865,0.009576899,0.6602499,0.01409889,0.07502392,0.1998066],"study_design_scores_gemma":[0.001395627,0.006083764,0.06186541,0.003001242,0.000630601,0.008239587,0.00168162,0.05875088,0.6600868,0.008693107,0.188846,0.0007254651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1353694,0.006512039,0.7580765,0.003563447,0.001463957,0.01512069,0.01604497,0.01364793,0.05020108],"genre_scores_gemma":[0.166442,0.003602025,0.7087315,0.004551571,0.0004746149,0.03798955,0.05061916,0.003584043,0.02400562],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06863397,"threshold_uncertainty_score":0.3629755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598311428043396,"score_gpt":0.3695418251813292,"score_spread":0.2097106823769895,"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."}}