{"id":"W6903019544","doi":"10.1021/es100822z.s001","title":"Selenium Speciation in Whole Sediment using X-ray Absorption Spectroscopy and Micro X-ray Fluorescence Imaging","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selenium; Sediment; Genetic algorithm; Benthic zone; Trophic level; Organic matter; Absorption (acoustics); Effluent","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001448056,0.0001940204,0.0002036954,0.0001085914,0.00008597378,0.00008105741,0.0001482391,0.0001157373,0.006296288],"category_scores_gemma":[0.0004375933,0.0001430039,0.00004139164,0.0001894586,0.00001648185,0.0002935361,0.00007089179,0.0001313549,0.0006425781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762065,"about_ca_system_score_gemma":0.00001442556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004135881,"about_ca_topic_score_gemma":0.000008438321,"domain_scores_codex":[0.998493,0.0001226585,0.0003169478,0.0004540866,0.0002041061,0.0004092137],"domain_scores_gemma":[0.9992799,0.000201796,0.0001695677,0.0002025553,0.00006665752,0.00007957478],"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":[0.00003449574,0.00002756006,0.02402024,0.00004962367,0.000003010976,0.000002328271,0.0001208228,0.00001173308,0.9617658,0.000001306791,0.01284157,0.001121499],"study_design_scores_gemma":[0.001564738,0.0001138539,0.4238353,0.005199794,0.00001473442,0.00002365223,0.0001232786,0.002778158,0.5231956,0.0001217907,0.04236702,0.0006621336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814125,0.000877364,0.00005439722,0.001756221,0.0007838271,0.001005397,0.01354807,0.0002419088,0.0003203042],"genre_scores_gemma":[0.9959785,0.000002591288,0.00149929,0.0001364533,0.0005323808,0.00003929568,0.001739288,0.00002569704,0.00004653672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4385702,"threshold_uncertainty_score":0.9946121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705189788215138,"score_gpt":0.2677944545547613,"score_spread":0.2407425566726099,"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."}}