{"id":"W2110087468","doi":"10.1007/s00216-006-0768-8","title":"Advances in analytical techniques for environmental analysis","year":2006,"lang":"en","type":"editorial","venue":"Analytical and Bioanalytical Chemistry","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Medical laboratory; Environmental analysis; Environmental chemistry; Management science; Analytical Chemistry (journal); Engineering; Chemistry; Chromatography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01206036,0.005079625,0.005141187,0.005971971,0.002435119,0.006426379,0.004933217,0.01612454,0.009006672],"category_scores_gemma":[0.02475787,0.001884229,0.003665897,0.002716547,0.003165332,0.006483289,0.002523965,0.02450417,0.01211784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521656,"about_ca_system_score_gemma":0.002822123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142046,"about_ca_topic_score_gemma":0.003752918,"domain_scores_codex":[0.9877081,0.001976105,0.001773383,0.001061415,0.007052727,0.0004283049],"domain_scores_gemma":[0.9671729,0.01077413,0.001597887,0.001290936,0.01705413,0.002109939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004027422,0.00002550374,0.00002015599,0.0006899839,0.00003792448,0.0001350438,0.00001585643,0.00003974629,0.0004984798,0.0005973891,0.9656883,0.03221135],"study_design_scores_gemma":[0.00001906637,0.00001879125,0.0001047303,0.0001410392,0.0000434425,0.0002249661,0.00001024261,0.00007709755,0.0002495123,0.0007869648,0.9983106,0.0000135693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002257346,0.02609996,0.0008581119,0.01440078,0.9570207,0.00001871654,0.00002490241,0.00008790191,0.001466379],"genre_scores_gemma":[0.0003519137,0.02548628,0.001108352,0.01766558,0.9421534,0.0000296843,0.0000369201,0.00008815086,0.01307971],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01612454,"threshold_uncertainty_score":0.06378204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005741510309009566,"score_gpt":0.2592830649205947,"score_spread":0.2535415546115851,"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."}}