{"id":"W2082668888","doi":"10.1002/ieam.102","title":"Estimating sediment quality thresholds to prevent restrictions on fish consumption: Application to polychlorinated biphenyls and dioxins–furans in the Canadian Great Lakes","year":2010,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Environmental science; Contamination; Biota; Environmental chemistry; Sediment; Benthic zone; Fishery; Catfish; Fish <Actinopterygii>; Chemistry; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005728914,0.0002659088,0.0001636919,0.0001511013,0.0003761208,0.0001331158,0.0002698449,0.00007958452,0.0004897751],"category_scores_gemma":[0.000009014339,0.0002068015,0.00002691323,0.0002980157,0.0001432827,0.0001528879,0.0001691823,0.0003150744,0.0001058983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009311729,"about_ca_system_score_gemma":0.00001379393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01484419,"about_ca_topic_score_gemma":0.1908621,"domain_scores_codex":[0.998174,0.00008962246,0.0003262291,0.0005462659,0.0004530635,0.0004107975],"domain_scores_gemma":[0.9991249,0.00004692901,0.00006739228,0.0004163623,8.896989e-7,0.0003434881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001218448,0.001489529,0.4859991,0.00003763854,0.000166465,0.00007366976,0.003331931,0.00229959,0.06001709,0.002784476,0.00366187,0.4400168],"study_design_scores_gemma":[0.0003691405,0.0001717147,0.9876204,0.00002572231,0.00002882769,0.00001065622,0.0004937829,0.0009533688,0.0005101478,0.000137819,0.009415793,0.0002626279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882356,0.000004879116,0.0007191028,0.005311958,0.0001841219,0.001717828,0.0001370232,0.00003774232,0.003651778],"genre_scores_gemma":[0.9946663,0.00003717449,0.002719707,0.001970242,0.00002552633,0.000259959,0.00002184477,0.00001809791,0.0002811198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5016213,"threshold_uncertainty_score":0.991716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399966951399915,"score_gpt":0.2863643415921145,"score_spread":0.2723646720781153,"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."}}