{"id":"W2030296027","doi":"10.1007/s002160100803","title":"Twenty five years of reference material activity at Agriculture and Agri-Food Canada","year":2001,"lang":"en","type":"review","venue":"Fresenius Journal of Analytical Chemistry","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Agriculture; NIST; Characterization (materials science); Comparability; Agricultural science; Engineering; Business; Environmental science; Agricultural economics; Geography; Mathematics; Computer science; Nanotechnology; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002799611,0.0002826621,0.001596255,0.0001155894,0.00007847624,0.0001659538,0.000926754,0.0002857064,0.00189537],"category_scores_gemma":[0.003908932,0.0001763812,0.0003945771,0.0007519475,0.0001764773,0.0001315889,0.0002103466,0.0005068768,0.000006481673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331981,"about_ca_system_score_gemma":0.001416837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705631,"about_ca_topic_score_gemma":0.01031469,"domain_scores_codex":[0.9938837,0.0002710742,0.001454283,0.0004425189,0.003666782,0.000281611],"domain_scores_gemma":[0.9951933,0.0008900828,0.00204725,0.0004337608,0.001089063,0.0003465234],"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":[0.0002706446,0.0002187093,0.0001863813,0.002673714,0.0008958994,0.0002347372,0.00007838848,0.00004366433,0.001483714,0.00001651377,0.2857969,0.7081008],"study_design_scores_gemma":[0.0002954914,0.00006868348,0.0003944375,0.001390952,0.0006881921,0.000267806,0.00007648674,0.00004870801,0.0005853436,0.0001572037,0.9957533,0.0002733617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1830451,0.8066979,0.00002257327,0.0002044686,0.001359427,0.000345536,0.0007592838,0.000007408716,0.007558367],"genre_scores_gemma":[0.03808757,0.9314036,0.0001127919,0.0000184486,0.001381161,0.000004364178,0.0001026402,0.00003131769,0.02885813],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7099565,"threshold_uncertainty_score":0.9990171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2164844560630929,"score_gpt":0.394229398647494,"score_spread":0.1777449425844011,"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."}}