{"id":"W4388111823","doi":"10.1002/ieam.4859","title":"The influence of sampling method and season on modeling of selenium into coldwater fish and implications on tissue-based water quality benchmarks","year":2023,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Global Water Futures; University of Saskatchewan","keywords":"Periphyton; Environmental science; Bioaccumulation; Benthic zone; Sediment; Macrophyte; Trophic level; Water quality; Hydrology (agriculture); Fishery; Ecology; Biology; Nutrient; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007592375,0.0001910157,0.0002318756,0.0000783632,0.0002107017,0.00004599743,0.0001217254,0.00007942719,0.00001254621],"category_scores_gemma":[0.000008013067,0.0001122796,0.00003093834,0.00009331681,0.0001420933,0.00005643471,0.000143776,0.0001375781,0.000001977407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537357,"about_ca_system_score_gemma":0.000002287551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002326013,"about_ca_topic_score_gemma":0.00002303937,"domain_scores_codex":[0.9985535,0.0002114231,0.0004027054,0.0003763343,0.0002255486,0.0002305341],"domain_scores_gemma":[0.9993101,0.0002725943,0.0001084156,0.000238677,0.00001252957,0.00005763452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008160983,0.0004610221,0.05923074,0.0006409531,0.0003116578,0.000001646263,0.0009520286,0.08678769,0.807747,0.003196226,0.0003415968,0.03951332],"study_design_scores_gemma":[0.002228221,0.001755575,0.7624623,0.0005409518,0.0002380772,0.000002589577,0.005363871,0.08957992,0.1269931,0.005000376,0.005063517,0.0007714482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958584,0.00002663054,0.001444653,0.001575136,0.00006449904,0.0006770031,0.00003022611,0.00003081629,0.000292645],"genre_scores_gemma":[0.9975243,0.0002037361,0.001778999,0.0002258103,0.000009460412,0.00008249997,0.00013268,0.00001286155,0.00002971653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7032316,"threshold_uncertainty_score":0.4578631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038635737496503,"score_gpt":0.3437432945781459,"score_spread":0.3133569372031809,"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."}}