{"id":"W2080442435","doi":"10.1007/s007690050442","title":"Reference materials in environmental trace organic analysis","year":2000,"lang":"en","type":"article","venue":"Accreditation and Quality Assurance","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Bundesministerium für Bildung und Forschung","keywords":"TRACE (psycholinguistics); Quality assurance; Environmental quality; Pollutant; Environmental science; Environmental analysis; Environmental chemistry; Engineering; Chemistry; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007673095,0.0001233274,0.0002543593,0.00005789817,0.00009170314,0.00005509938,0.0001239709,0.00006682309,0.008028897],"category_scores_gemma":[0.00003431988,0.0001190474,0.00004283647,0.0004679888,0.00009881164,0.0003176624,0.00002623335,0.00008238129,0.0003982532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006440371,"about_ca_system_score_gemma":0.000003826601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320829,"about_ca_topic_score_gemma":0.000258763,"domain_scores_codex":[0.9984537,0.0003153932,0.000394309,0.0003611409,0.0002833447,0.0001921416],"domain_scores_gemma":[0.9995158,0.0001122632,0.00008585542,0.0002132513,0.000002537826,0.0000703088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009603248,0.0002646082,0.5976948,0.000028205,0.0001572348,0.000006881075,0.003699774,0.001688512,0.3744702,0.000097362,0.0002765222,0.02151986],"study_design_scores_gemma":[0.0002553894,0.00001498574,0.9856359,0.000004984894,0.00005875119,6.239721e-7,0.0002684849,0.00008919811,0.01169977,0.0001572611,0.001634057,0.0001806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986687,0.00004167727,0.0001028558,0.0003783421,0.00003441206,0.00006244687,0.00003958944,0.00002707117,0.0006449026],"genre_scores_gemma":[0.9977793,0.0001456948,0.0003648486,0.00007781993,0.00003432175,0.00001066847,0.00005954774,0.000006172974,0.001521615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3879411,"threshold_uncertainty_score":0.9928779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578127417623086,"score_gpt":0.2754081212659894,"score_spread":0.2496268470897585,"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."}}