{"id":"W2601233763","doi":"10.1007/s00216-017-0210-4","title":"Measurement uncertainty challenge","year":2017,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Medical laboratory; Measurement uncertainty; Management science; Biochemical engineering; Analytical Chemistry (journal); Engineering; Environmental chemistry; Chemistry; Medicine; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007338151,0.0002280792,0.0004136576,0.00006478995,0.0007938286,0.001273527,0.001123415,0.0001370907,0.001570724],"category_scores_gemma":[0.01405946,0.0001491588,0.0002193882,0.0001854561,0.0008211804,0.0002542402,0.0003220622,0.000225097,0.0002546082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008773184,"about_ca_system_score_gemma":0.0001180234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004315834,"about_ca_topic_score_gemma":0.00004967525,"domain_scores_codex":[0.9940488,0.00007123319,0.0006782237,0.0009111489,0.003851397,0.0004392154],"domain_scores_gemma":[0.9966341,0.0002166501,0.0002580157,0.001398497,0.0009921604,0.000500631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007874165,0.001910346,0.08848042,0.0002481127,0.001069934,0.0001891588,0.0003879601,0.0001482075,0.02696722,0.05165554,0.08134139,0.7468143],"study_design_scores_gemma":[0.003639533,0.0002411428,0.110032,0.0002257714,0.0007782595,0.00003450326,0.000973605,0.5466573,0.009586728,0.1925756,0.1333673,0.001888231],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4601043,0.0007287895,0.00247382,0.06936792,0.0007263019,0.0004443679,0.00003024101,0.0001331514,0.4659911],"genre_scores_gemma":[0.9937668,0.00002411356,0.00004929564,0.0001437482,0.0002597218,0.000004978301,0.000002790724,0.000006793355,0.005741687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.744926,"threshold_uncertainty_score":0.9997633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3203738061831467,"score_gpt":0.4148304434351319,"score_spread":0.09445663725198516,"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."}}