{"id":"W4292259075","doi":"10.1002/etc.5465","title":"Expansion of the Conceptual Model for the Accumulation of Selenium in Lentic Food Chains to Include Redox-Controlled Generation and Diffusion of Selenite and Dissolved Organo-Selenium Compounds","year":2022,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Genome British Columbia","funders":"","keywords":"Selenium; Lake ecosystem; Redox; Sediment; Environmental chemistry; Sediment–water interface; Sedimentary depositional environment; Food chain; Chemistry; Benthic zone; Dissolution; Detritivore; Geology; Ecology; Ecosystem; Inorganic chemistry; Oceanography; Geomorphology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002767069,0.0001290314,0.0003140709,0.00002050854,0.0002391496,0.000003942356,0.0001190202,0.0001366213,0.00001652761],"category_scores_gemma":[0.00004549888,0.0000894193,0.00004620753,0.00006470118,0.0003552974,0.00003162164,0.0002575538,0.0001437667,2.958973e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007884287,"about_ca_system_score_gemma":0.00000905387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006820125,"about_ca_topic_score_gemma":0.000009855666,"domain_scores_codex":[0.998942,0.0001334614,0.0003935349,0.0002458438,0.0001451114,0.0001400902],"domain_scores_gemma":[0.9992827,0.0002793465,0.0002469801,0.0001506863,0.000007562026,0.00003270734],"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":[0.0009057028,0.0001489954,0.02309627,0.00004328057,0.00002167437,2.947637e-8,0.002286236,0.001863958,0.9714888,0.00001560372,0.00001607136,0.0001133896],"study_design_scores_gemma":[0.004006156,0.0004433329,0.03557318,0.00001567239,0.00006504788,0.000007855828,0.002239787,0.1464957,0.8109553,0.00006069077,0.00001895647,0.000118301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981382,0.0004861389,0.0001541796,0.0002537406,0.0000893481,0.000788741,0.00007651825,0.000006041054,0.000007082071],"genre_scores_gemma":[0.9995794,0.00003476639,0.00008248216,0.00007452996,0.00003496933,0.0001120756,0.00003491486,0.00001002072,0.00003684461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1605335,"threshold_uncertainty_score":0.3646413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287484235513673,"score_gpt":0.2585164160959837,"score_spread":0.225641573740847,"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."}}