{"id":"W4417444038","doi":"10.1016/j.jfca.2025.108790","title":"Bioaccumulation patterns in aquaculture mussels and turbots exposed to different sizes of TiO2NPs","year":2025,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Interreg; Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia; Ministerio de Economía y Competitividad; European Commission","keywords":"Bioaccumulation; Turbot; Mussel; Shellfish; Titanium dioxide; Aquaculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033972,0.0003649293,0.0002401659,0.0003219315,0.0001808242,0.0002776646,0.0001367059,0.0003544615,0.000661606],"category_scores_gemma":[0.0002334918,0.0002185617,0.0003356577,0.0001613424,0.0002596569,0.0001766516,0.0002129082,0.0002891082,0.0001767869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397966,"about_ca_system_score_gemma":0.0001825745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137802,"about_ca_topic_score_gemma":0.004250605,"domain_scores_codex":[0.9999052,0.00001108953,0.000007747339,0.00003557375,0.00002411279,0.00001622974],"domain_scores_gemma":[0.9998057,0.0000293425,0.00005467573,0.00001183974,0.00007212139,0.0000262231],"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":[0.0002198943,0.00001263955,0.004166948,0.00003833655,0.0000141081,0.0001315379,0.0001487748,0.000133799,0.9940884,0.00001123338,0.0000206925,0.001013547],"study_design_scores_gemma":[0.00001248417,0.001448551,0.1591567,0.00001933044,0.0001115836,0.0005391135,0.0008161445,0.001422194,0.8349664,0.00005475414,0.001413221,0.00003956854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994019,0.00008647337,0.0001892636,0.000009647844,0.000003375368,0.000003702679,0.00007678443,0.00000650762,0.0002223018],"genre_scores_gemma":[0.9952199,0.0002508959,0.0005957769,0.00003376474,0.000003714361,0.00003083002,0.0002476385,0.000009714838,0.003607848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004137802,"threshold_uncertainty_score":0.008227468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560607482702886,"score_gpt":0.270043415335029,"score_spread":0.2544373405080001,"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."}}