{"id":"W2177642573","doi":"10.1897/2005-013r.1","title":"A Decision-Making Framework for Sediment Contamination","year":2005,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Golder Associates (Canada)","funders":"U.S. Department of Energy","keywords":"Biomagnification; Environmental remediation; Sediment; Environmental science; Contamination; Environmental chemistry; Environmental engineering; Environmental planning; Ecology; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003501519,0.0003219393,0.0002436769,0.00008768852,0.000404938,0.00005922286,0.000233261,0.0001823717,0.005713236],"category_scores_gemma":[0.000007954244,0.0002989817,0.00008953686,0.0001186726,0.0002872173,0.0003109296,0.0004285649,0.0002149336,0.0002959935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050363,"about_ca_system_score_gemma":0.000003307575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003493886,"about_ca_topic_score_gemma":0.00004102244,"domain_scores_codex":[0.9981171,0.00005362386,0.0003902567,0.0006598746,0.0003037514,0.0004753894],"domain_scores_gemma":[0.999256,0.0002055869,0.0001375395,0.000274514,0.000001300148,0.0001250964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000262881,0.001491067,0.06172667,0.00003315291,0.000246876,0.00002805208,0.0003131264,0.002789299,0.00401924,0.01733053,0.01022185,0.9015372],"study_design_scores_gemma":[0.003977637,0.001336575,0.4356464,0.0002084536,0.0003537078,0.00004817404,0.00221938,0.0226719,0.002868192,0.03876254,0.4904061,0.001500957],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7044557,0.0001347698,0.2693458,0.001155359,0.0004991273,0.002483395,0.00004982522,0.00012677,0.02174924],"genre_scores_gemma":[0.8018238,0.0003770526,0.1942756,0.001490565,0.00005246881,0.0004978373,0.00004552991,0.0000286209,0.00140857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9000363,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532016752335922,"score_gpt":0.2833035366975361,"score_spread":0.2757715199452001,"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."}}