{"id":"W4381599213","doi":"10.1007/s00216-023-04732-5","title":"Best measurement challenge","year":2023,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Medical laboratory; Analytical Chemistry (journal); Engineering; Environmental chemistry; Management science; Biochemical engineering; Chemistry; Medicine","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":[0.0375767,0.002263194,0.002868565,0.004518883,0.006825002,0.02378646,0.008258169,0.01487348,0.07703773],"category_scores_gemma":[0.07292994,0.001588098,0.001568872,0.002805556,0.00940655,0.02527091,0.01643928,0.01782059,0.06856231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006928336,"about_ca_system_score_gemma":0.02145146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100822,"about_ca_topic_score_gemma":0.01144909,"domain_scores_codex":[0.9531598,0.008233399,0.001640057,0.006559516,0.02736807,0.003039142],"domain_scores_gemma":[0.9196964,0.0148146,0.001577863,0.0156317,0.04096565,0.007313791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005623957,0.00006265295,0.0003698268,0.0001961187,0.00003379483,0.00009524588,0.0002589556,0.0003387187,0.0005631323,0.2565582,0.6133027,0.1281644],"study_design_scores_gemma":[0.000008639387,0.000021523,0.0002068095,0.0002694484,0.000013302,0.0001673979,0.0002688555,0.0007996366,0.0007595082,0.1503358,0.8471048,0.00004437265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001139645,0.01446338,0.1064887,0.5110395,0.02837295,0.0001469525,0.001184728,0.004235425,0.3329287],"genre_scores_gemma":[0.05178007,0.01590348,0.1067246,0.1884797,0.02399132,0.0004725198,0.002411838,0.004209804,0.6060266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07703773,"threshold_uncertainty_score":0.2577168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012918504344418,"score_gpt":0.253797974111145,"score_spread":0.2136687890677008,"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."}}