{"id":"W1962742013","doi":"10.1002/ieam.1694","title":"A statistical evaluation of the safety factor and species sensitivity distribution approaches to deriving environmental quality guidelines","year":2015,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Gumbel distribution; Environmental science; Quality (philosophy); Statistics; Distribution (mathematics); Sample (material); Christian ministry; Econometrics; Mathematics; Chemistry; Political science; Extreme value theory","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1030232,0.001323665,0.001288974,0.00596519,0.0009346927,0.001846963,0.002160286,0.001415525,0.003648878],"category_scores_gemma":[0.2167339,0.000455437,0.004246161,0.003956726,0.002294498,0.002241494,0.002238693,0.00204345,0.0003055222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220589,"about_ca_system_score_gemma":0.003031326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009383668,"about_ca_topic_score_gemma":0.004543027,"domain_scores_codex":[0.8992928,0.07932717,0.002542546,0.00455387,0.01345373,0.0008299032],"domain_scores_gemma":[0.4976157,0.4700244,0.008735576,0.009775002,0.01310201,0.0007472928],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003488773,0.0007734823,0.13547,0.001247763,0.005425361,0.0004724655,0.001192466,0.521793,0.003234082,0.06083455,0.003554608,0.2625136],"study_design_scores_gemma":[0.0002038271,0.004550964,0.04486328,0.0002105727,0.0006873019,0.0002703903,0.0005803129,0.9194947,0.002684713,0.02142212,0.004877227,0.0001545706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3668082,0.001310755,0.617932,0.0005839567,0.0001807167,0.001929161,0.001442676,0.0006608305,0.009151614],"genre_scores_gemma":[0.819717,0.0002678608,0.1766589,0.000199619,0.00006192116,0.00117978,0.000735867,0.00009748964,0.001081666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969768,"threshold_uncertainty_score":0.5448455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20752058947249,"score_gpt":0.3136960253868523,"score_spread":0.1061754359143623,"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."}}