{"id":"W2059732711","doi":"10.1021/es071399v","title":"Speciation of Selenium in Stream Insects Using X-ray Absorption Spectroscopy","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Selenium; Genetic algorithm; Environmental chemistry; Food chain; Detritivore; X-ray absorption spectroscopy; Trophic level; Biology; Ecology; Predation; Absorption spectroscopy; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432836,0.0001923595,0.0001040543,0.0007041724,0.0003384718,0.0004052781,0.0001779367,0.0002126242,0.0006835043],"category_scores_gemma":[0.0001099314,0.000120125,0.0001164649,0.0005688632,0.0001691685,0.0001631309,0.0001436944,0.000186121,0.000123316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004110754,"about_ca_system_score_gemma":0.0002605171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264265,"about_ca_topic_score_gemma":0.04557745,"domain_scores_codex":[0.9999039,0.000009477047,0.000004547605,0.00002455485,0.00004123313,0.00001624893],"domain_scores_gemma":[0.9999429,0.000007487578,0.00001157551,0.000002295602,0.0000300916,0.000005748798],"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":[0.0001544802,0.00006265647,0.06830591,0.0001021394,0.00003549417,0.0001086906,0.000370793,0.0002735394,0.9151308,0.00009695654,0.0001138992,0.01524467],"study_design_scores_gemma":[0.00001822697,0.0005529521,0.6370623,0.00003679207,0.00008415318,0.0005190902,0.00125592,0.004013624,0.3514221,0.000184576,0.004824899,0.00002529681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964337,0.0007457425,0.0009842787,0.00002243275,0.00000261778,0.00001561769,0.0001780356,0.000032136,0.001585354],"genre_scores_gemma":[0.9925203,0.001113041,0.004158691,0.00003459565,0.000003193879,0.000007861246,0.0002198406,0.000007570981,0.001934854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02264265,"threshold_uncertainty_score":0.04502171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151231879861884,"score_gpt":0.2573823369687573,"score_spread":0.2458700181701385,"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."}}