{"id":"W2915218073","doi":"10.1088/0026-1394/55/1a/08003","title":"Final report of the SIM.QM-S8 supplementary comparison, trace metals in drinking water","year":2017,"lang":"en","type":"article","venue":"Metrologia","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mutual recognition; TRACE (psycholinguistics); Metrology; Context (archaeology); Systematic error; Statistics; Mathematics; Environmental science; Computer science; Library science; Operations research; Geography; Archaeology; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.001400342,0.0001056087,0.0002644175,0.00003249342,0.0002375883,0.00004174269,0.000648225,0.00004814993,0.0007564805],"category_scores_gemma":[0.00009022644,0.0000589335,0.0001213068,0.00006717737,0.0002255411,0.0001009796,0.0004646147,0.0001561675,0.00003343443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006112609,"about_ca_system_score_gemma":0.000003048512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005110496,"about_ca_topic_score_gemma":0.0004619686,"domain_scores_codex":[0.9986053,0.0001387229,0.0004126515,0.0002558927,0.000321152,0.0002663036],"domain_scores_gemma":[0.9989846,0.00003324642,0.0002209283,0.000726178,0.000005297502,0.00002975837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007233936,0.00006204368,0.9584016,0.000003369866,0.00002620505,0.00002396658,0.0002545908,0.0009877959,0.03954843,0.000004258647,0.0003624917,0.0003179762],"study_design_scores_gemma":[0.0002105503,0.0000287248,0.7272471,0.000006643038,0.00005202738,0.000005605069,0.00009648968,0.0002421757,0.2682054,0.0002660232,0.003547845,0.00009147053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976881,0.00001220298,0.00008099141,0.001448704,0.0001641732,0.00006996695,0.000004341106,0.000007501963,0.0005239948],"genre_scores_gemma":[0.9983307,0.000001288107,0.0007108945,0.00002963611,0.00003486753,0.00000724632,0.000006394699,0.000005220022,0.000873805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311546,"threshold_uncertainty_score":0.8282931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05655156844204341,"score_gpt":0.3114409010426914,"score_spread":0.254889332600648,"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."}}