{"id":"W4388845278","doi":"10.1007/s00216-023-05031-9","title":"Determination of selenium-containing species, including nanoparticles, in selenium-enriched Lingzhi mushrooms","year":2023,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología; Ministerio de Ciencia e Innovación","keywords":"Selenium; Mycelium; Mushroom; Chemistry; Food science; Inductively coupled plasma mass spectrometry; Edible mushroom; Particle size; Botany; Mass spectrometry; Chromatography; Biology; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008915912,0.0003164324,0.0007089431,0.0001625608,0.0001082396,0.00006547445,0.0002819178,0.0004140532,0.0001313054],"category_scores_gemma":[0.001250712,0.0002635287,0.0001673172,0.001642552,0.0004244699,0.0001162706,0.0002282987,0.0004425932,0.00003611053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587599,"about_ca_system_score_gemma":0.00002967296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000965225,"about_ca_topic_score_gemma":0.00001938358,"domain_scores_codex":[0.9970484,0.0000979878,0.0009635919,0.0006791365,0.0004707594,0.0007400916],"domain_scores_gemma":[0.9982845,0.0008362409,0.0001716882,0.000292069,0.0001272969,0.0002882511],"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":[0.0003102033,0.0001820651,0.07598998,0.0003615227,0.00004625971,0.00002478905,0.0001889768,0.00001434489,0.9198649,0.0006709998,0.000154413,0.002191577],"study_design_scores_gemma":[0.002421158,0.0004198148,0.0749251,0.0003661488,0.0003225933,0.00006716127,0.001830784,0.2458748,0.6673037,0.003087386,0.002230042,0.001151277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959781,0.0001473298,0.00005862602,0.001117024,0.0001015063,0.0001569879,0.00001060645,0.0001660977,0.002263721],"genre_scores_gemma":[0.9989303,0.00003738183,0.0002576082,0.00009590709,0.0002484581,0.00001060779,0.00003590712,0.00002467193,0.0003591652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2525612,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466044804843795,"score_gpt":0.2953204320650217,"score_spread":0.2487159515806422,"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."}}