{"id":"W4390488587","doi":"10.1007/s00216-023-05037-3","title":"Elemental analysis challenge","year":2024,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Elemental analysis; Medical laboratory; Analytical Chemistry (journal); Environmental chemistry; Chemistry; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001525053,0.0003522302,0.0004562018,0.00007442684,0.0001338541,0.0001496926,0.0002472882,0.0002621565,0.01940323],"category_scores_gemma":[0.00006909395,0.0003015386,0.0004247495,0.0006574083,0.0004711209,0.0001258923,0.0001510922,0.0005232348,0.00009470063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310024,"about_ca_system_score_gemma":0.0000524063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006677203,"about_ca_topic_score_gemma":0.000002026331,"domain_scores_codex":[0.9977053,0.000006708722,0.0004719753,0.0008809402,0.0004202769,0.0005148148],"domain_scores_gemma":[0.9988921,0.0001702183,0.00003679705,0.0004046696,0.00003870888,0.0004575478],"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":[0.0006109347,0.004356611,0.0228365,0.01962112,0.0486012,0.006411959,0.0007631395,0.0001404428,0.6320999,0.08283357,0.02030956,0.1614151],"study_design_scores_gemma":[0.0009392217,0.00005173308,0.00008114506,0.0003347598,0.009414447,0.0001331582,0.0006270041,0.1404204,0.1475334,0.00404231,0.6943363,0.002086078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2854712,0.008115982,0.0009985985,0.002570761,0.0001252242,0.00006593848,0.0002944368,0.0007690904,0.7015888],"genre_scores_gemma":[0.9709167,0.0003063995,0.000136024,0.00009417564,0.0004273915,0.00001015894,0.0001350224,0.00002603724,0.02794811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6854455,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325287075900228,"score_gpt":0.2705042342836879,"score_spread":0.2572513635246856,"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."}}