{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01126034,0.001380964,0.001068435,0.005465259,0.002218452,0.00325289,0.002437443,0.001976578,0.4242322],"category_scores_gemma":[0.03703513,0.000697324,0.001570445,0.00538019,0.0005389628,0.002517579,0.003227184,0.001598065,0.1878273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004877632,"about_ca_system_score_gemma":0.009897302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758138,"about_ca_topic_score_gemma":0.01538896,"domain_scores_codex":[0.9909908,0.001396024,0.0007698928,0.0007266415,0.005479946,0.0006367837],"domain_scores_gemma":[0.9543598,0.004372783,0.001397443,0.003620086,0.03494437,0.001305531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005999788,0.00008741215,0.001114261,0.0006219139,0.00003109778,0.00008966498,0.00008698405,0.000272025,0.00108816,0.00208798,0.9711514,0.02276911],"study_design_scores_gemma":[0.00009475306,0.000134298,0.006313251,0.0002499324,0.00003250177,0.00007021741,0.000269728,0.000181367,0.003151461,0.001716551,0.9877477,0.00003829323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005967829,0.0006020546,0.006633308,0.005001014,0.008184955,0.002814772,0.8292357,0.00368488,0.1378755],"genre_scores_gemma":[0.03260103,0.001077497,0.02752533,0.003381237,0.001434017,0.005380043,0.7002307,0.004978329,0.2233918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4242322,"threshold_uncertainty_score":0.8212628,"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."}}