{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161888,0.0003836579,0.000215921,0.0002085156,0.0001146191,0.0002427912,0.00008829282,0.0003485948,0.001261579],"category_scores_gemma":[0.0001102853,0.0001511434,0.0002902591,0.0001279617,0.0002195733,0.000140948,0.000218711,0.0002426188,0.0003025906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431901,"about_ca_system_score_gemma":0.0001615464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003886735,"about_ca_topic_score_gemma":0.0007396913,"domain_scores_codex":[0.9998736,0.0000264572,0.00001233934,0.00001925623,0.00004891544,0.00001930893],"domain_scores_gemma":[0.9998965,0.00002851139,0.00002628344,0.000008928508,0.00002543412,0.00001430513],"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":[0.0002243232,0.00002984123,0.0005930709,0.00008279829,0.00001244464,0.0001087858,0.00001497028,0.00004872179,0.996819,0.00002986381,0.00004743944,0.001988702],"study_design_scores_gemma":[0.00002337675,0.0009946648,0.0100793,0.00001387573,0.00002934754,0.0004532476,0.00006269059,0.0005744915,0.9859456,0.00007917483,0.001737392,0.000006738941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899179,0.005037829,0.001771842,0.0001355436,0.00005110484,0.0000260665,0.0001471896,0.00005734244,0.002855235],"genre_scores_gemma":[0.9927139,0.002010604,0.00107699,0.00009938655,0.00002502664,0.0000299436,0.0002156727,0.00001059854,0.003818011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001261579,"threshold_uncertainty_score":0.004220426,"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."}}