{"id":"W4315781529","doi":"10.3390/nano13020311","title":"Investigation on the Toxicity of Nanoparticle Mixture in Rainbow Trout Juveniles","year":2023,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Toxicity; Chemistry; Bioavailability; Genotoxicity; Nanoparticle; Rainbow trout; Environmental chemistry; Oxidative stress; Bioconcentration; Lipid peroxidation; Trout; Biochemistry; Biophysics; Pharmacology; Biology; Fish <Actinopterygii>; Nanotechnology; Bioaccumulation; Materials science; Organic chemistry; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001197939,0.0002354824,0.0002272296,0.0001465168,0.0001625973,0.0001943608,0.000118184,0.0003379387,0.0004593337],"category_scores_gemma":[0.0001308249,0.00009712874,0.0002387289,0.00008189488,0.0001423478,0.0001356922,0.0002460521,0.0002496187,0.0001181436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874997,"about_ca_system_score_gemma":0.0002703856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774488,"about_ca_topic_score_gemma":0.003858982,"domain_scores_codex":[0.9998633,0.00001480867,0.00001083882,0.00003958216,0.00005565718,0.0000158418],"domain_scores_gemma":[0.9999194,0.00001065391,0.00002550919,0.000004954537,0.00002848623,0.00001103156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006246204,0.00001042831,0.001631789,0.00004599275,0.00000923997,0.0000392114,0.00001744245,0.00006950993,0.997115,0.000009960385,0.00001146334,0.0009774847],"study_design_scores_gemma":[0.000007605341,0.002590375,0.03849821,0.00001676131,0.00008953898,0.0003822267,0.0001630146,0.0008884054,0.9551113,0.00006525042,0.002172537,0.00001478815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973658,0.0005609112,0.001364765,0.00003263177,0.00001198486,0.00001986697,0.00009005327,0.00001763187,0.0005363064],"genre_scores_gemma":[0.9950269,0.000586062,0.001931067,0.00005898892,0.00000600364,0.00002840202,0.0001387547,0.000008365531,0.002215393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774488,"threshold_uncertainty_score":0.003528297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064225351003376,"score_gpt":0.259411092937332,"score_spread":0.2087688394272982,"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."}}