{"id":"W2017195711","doi":"10.1007/s11356-013-1732-8","title":"Water quality guidelines for chemicals: learning lessons to deliver meaningful environmental metrics","year":2013,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Identification (biology); Quality (philosophy); Globe; Risk analysis (engineering); Best practice; Computer science; Environmental resource management; Business; Good laboratory practice; Environmental planning; Management science; Quality assurance; Engineering; Environmental science; Political science; Ecology; Service (business)","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":[0.01135089,0.001577312,0.0004986126,0.00120962,0.00128139,0.003400616,0.003761247,0.003501195,0.005925654],"category_scores_gemma":[0.03116107,0.0003638918,0.0006110671,0.0007468399,0.002649334,0.005946135,0.003816343,0.006855316,0.002071977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003885857,"about_ca_system_score_gemma":0.008833133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009797041,"about_ca_topic_score_gemma":0.02486725,"domain_scores_codex":[0.9962633,0.00181276,0.0002688284,0.0002266759,0.001206099,0.0002223068],"domain_scores_gemma":[0.9861871,0.00720776,0.0006529035,0.0008013141,0.00377877,0.001372106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003624639,0.0006611937,0.002925569,0.000820599,0.00004073201,0.0003078943,0.004278896,0.01115038,0.001600943,0.09965959,0.3564552,0.5220627],"study_design_scores_gemma":[0.00005688917,0.0002047402,0.001958874,0.001870513,0.00003739393,0.0001821172,0.006411515,0.01025097,0.003187154,0.4607596,0.5149744,0.0001057172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0154587,0.007469693,0.3691115,0.5159646,0.004593431,0.0006281798,0.0006557915,0.002452917,0.08366512],"genre_scores_gemma":[0.1475677,0.01570607,0.7744793,0.03327516,0.001814418,0.0007392954,0.0007698883,0.000596297,0.02505193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135089,"threshold_uncertainty_score":0.06002992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1591384187737375,"score_gpt":0.4233284214051408,"score_spread":0.2641900026314034,"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."}}