{"id":"W2161540355","doi":"10.1002/tox.22084","title":"Silicon dioxide nanoparticles increase macrophage atherogenicity: Stimulation of cellular cytotoxicity, oxidative stress, and triglycerides accumulation","year":2014,"lang":"en","type":"article","venue":"Environmental Toxicology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Interdisciplinary Research in Rehabilitation","keywords":"Cytotoxicity; Oxidative stress; Chemistry; Stimulation; Macrophage; Silicon dioxide; Nanoparticle; Biochemistry; Materials science; Nanotechnology; Biology; In vitro; Endocrinology; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330059,0.0001569304,0.0002529294,0.00004690119,0.0001438413,0.00002252097,0.0001359443,0.00009663369,0.0005563973],"category_scores_gemma":[0.00007047358,0.0001496176,0.00004577095,0.00006679758,0.0003659111,0.0001797513,0.0001372906,0.0000565714,0.00008021692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005736936,"about_ca_system_score_gemma":0.000008575618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003523412,"about_ca_topic_score_gemma":0.00001395455,"domain_scores_codex":[0.9986217,0.0002576689,0.000367278,0.0003474809,0.0001704633,0.0002354322],"domain_scores_gemma":[0.9991286,0.0002791718,0.0002184516,0.00025909,0.000006700553,0.000107976],"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":[0.00006405947,0.0002970253,0.01766656,0.00001330444,0.000008250662,0.000001066535,0.0001295815,0.0005463593,0.9791354,0.0007369927,0.000002817746,0.00139859],"study_design_scores_gemma":[0.0004978069,0.0001776244,0.06598708,0.000009137317,0.00004036852,0.000003021705,0.00006997055,0.002743986,0.9295835,0.0007086361,0.00004575775,0.0001331175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982392,0.0001057136,0.001066891,0.0000589979,0.00002922136,0.0003422176,0.0000775345,0.00003413318,0.00004616032],"genre_scores_gemma":[0.9988262,0.00002366163,0.0009320091,0.00006129711,0.00004182697,0.0000505202,0.0000193515,0.00001795438,0.00002714652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0495519,"threshold_uncertainty_score":0.610123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538390495776578,"score_gpt":0.2458075512750388,"score_spread":0.230423646317273,"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."}}