{"id":"W2091665047","doi":"10.1007/s00216-003-2384-1","title":"Filling the AOAC triangle with food-matrix standard reference materials","year":2004,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Institute of Standards and Technology","keywords":"Traceability; Food science; NIST; Matrix (chemical analysis); Food packaging; Biotechnology; Chemistry; Computer science; Mathematics; Biochemical engineering; Process engineering; Business; Engineering; Biology; Chromatography; Statistics","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":[0.01174819,0.002243174,0.00373599,0.005625982,0.0009673982,0.002028161,0.005610715,0.005185178,0.00443313],"category_scores_gemma":[0.00824875,0.0009927191,0.001133421,0.0048731,0.003356239,0.005062554,0.003038683,0.006034303,0.009385636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174757,"about_ca_system_score_gemma":0.00481955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251354,"about_ca_topic_score_gemma":0.005026276,"domain_scores_codex":[0.9932082,0.00185415,0.001149963,0.0006738895,0.002955378,0.0001583424],"domain_scores_gemma":[0.9878131,0.005163932,0.001541801,0.0009009638,0.004325728,0.0002545299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009923722,0.0001095661,0.0003141077,0.007826382,0.00008232807,0.0003333318,0.0001126247,0.0002203508,0.009518065,0.01202819,0.03848065,0.930875],"study_design_scores_gemma":[0.00001906496,0.0001274106,0.0005432771,0.001613205,0.00007613291,0.001461408,0.00009984394,0.0001624695,0.008765072,0.008197644,0.9788927,0.00004173211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001093846,0.9095104,0.05889856,0.00845288,0.00720852,0.0001916901,0.000329759,0.0005865095,0.01372783],"genre_scores_gemma":[0.006520388,0.8126066,0.1415573,0.01216001,0.002566428,0.0004031908,0.001492004,0.0001924268,0.0225017],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01174819,"threshold_uncertainty_score":0.06213105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05377036309094005,"score_gpt":0.3382295366481307,"score_spread":0.2844591735571906,"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."}}