{"id":"W2779576650","doi":"10.1088/0026-1394/55/1a/08002","title":"Final report of the SIM.QM-S7 supplementary comparison, trace metals in drinking water","year":2017,"lang":"en","type":"article","venue":"Metrologia","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mutual recognition; Metrology; TRACE (psycholinguistics); Mathematics; Library science; Medical physics; Statistics; Computer science; Information retrieval; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009183839,0.001266984,0.0008891514,0.005138424,0.002014732,0.002450716,0.002206538,0.001511847,0.4488799],"category_scores_gemma":[0.02761535,0.0006020967,0.001266947,0.005200075,0.0004904764,0.001793493,0.002843402,0.001152581,0.2224798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004366835,"about_ca_system_score_gemma":0.008200547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573568,"about_ca_topic_score_gemma":0.01413341,"domain_scores_codex":[0.9925783,0.0009876327,0.0006669726,0.0006356812,0.004569926,0.0005614282],"domain_scores_gemma":[0.9676592,0.003746433,0.001211375,0.002929666,0.02338491,0.001068389],"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":[0.0006645407,0.0001025289,0.001914546,0.0004777488,0.00002802802,0.00008785306,0.00007791185,0.0002564412,0.001347733,0.001708501,0.9711012,0.02223303],"study_design_scores_gemma":[0.0001155368,0.0001771465,0.01079735,0.00022439,0.00003533705,0.000109059,0.0003310294,0.0003319946,0.005260324,0.001584003,0.9809906,0.00004312492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006112395,0.000255303,0.00409131,0.002377264,0.002797494,0.001396271,0.9016485,0.002722327,0.0785992],"genre_scores_gemma":[0.02356021,0.0005173013,0.01628206,0.001551721,0.0006356988,0.002495466,0.839653,0.00308942,0.1122152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4488799,"threshold_uncertainty_score":0.7861059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06953487016845554,"score_gpt":0.3440867824605129,"score_spread":0.2745519122920573,"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."}}