{"id":"W2081539629","doi":"10.1021/es034979a","title":"Speciation of Hepatic Zn in Trout Exposed to Elevated Waterborne Zn Using X-ray Absorption Spectroscopy","year":2004,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Trace Elements in Health","field":"Nursing","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; U.S. Department of Energy","keywords":"Chemistry; Extended X-ray absorption fine structure; X-ray absorption spectroscopy; Metallothionein; Rainbow trout; Genetic algorithm; Trout; Zinc; Absorption (acoustics); Atomic absorption spectroscopy; Environmental chemistry; Nuclear chemistry; Absorption spectroscopy; Materials science; Biology; Fish <Actinopterygii>; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004991114,0.0001649874,0.00023244,0.001005326,0.0001552787,0.00001570084,0.0004247654,0.0001311144,0.00007856004],"category_scores_gemma":[0.00006470537,0.0001716031,0.00002569451,0.001444821,0.0006085281,0.000311556,0.0001249294,0.0002210103,0.00007475558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003225337,"about_ca_system_score_gemma":0.00004096831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001733354,"about_ca_topic_score_gemma":0.0001139257,"domain_scores_codex":[0.997829,0.0000334627,0.0004939713,0.0005295999,0.0004734877,0.0006404949],"domain_scores_gemma":[0.999314,0.00001370865,0.0001949372,0.0003907479,0.000006875242,0.00007975914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004670482,0.0002241425,0.0557501,0.000006097992,0.000001507953,0.000003093237,0.0005509664,0.003604648,0.9376963,0.0001415966,8.41787e-7,0.001973962],"study_design_scores_gemma":[0.000734769,0.0005806143,0.1402315,0.00005132077,0.000006383626,0.000005691165,0.0004689209,0.0004662283,0.8560554,0.00120595,0.00004834828,0.0001448846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959128,0.00002685489,0.001647652,0.001259782,0.000367474,0.0006536774,0.000006254297,0.00008929388,0.00003614143],"genre_scores_gemma":[0.979089,0.000009215855,0.02072696,0.0001004479,0.00002873093,0.00001672811,0.000004673169,0.00001798988,0.000006309506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08448138,"threshold_uncertainty_score":0.8434145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284982408525547,"score_gpt":0.2726700730067769,"score_spread":0.2598202489215214,"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."}}