{"id":"W4396573801","doi":"10.1093/cvr/cvae099","title":"Targeting macrophages with multifunctional nanoparticles to detect and prevent atherosclerotic cardiovascular disease","year":2024,"lang":"en","type":"article","venue":"Cardiovascular Research","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Netherlands Heart Institute; Australian Research Council","keywords":"Disease; Medicine; Atherosclerotic cardiovascular disease; Macrophage; Pathology; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104736,0.0002360815,0.0003237356,0.0002871987,0.0004606484,0.0004334767,0.0002941051,0.00005504649,0.00005193634],"category_scores_gemma":[0.0009134785,0.0001852086,0.0005770088,0.001087983,0.0003722256,0.0002101015,0.0002889065,0.0003991643,0.0002599344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009535743,"about_ca_system_score_gemma":0.0001428464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004005959,"about_ca_topic_score_gemma":0.000001607909,"domain_scores_codex":[0.9950572,0.0008676345,0.0001862628,0.001196752,0.00193496,0.0007571804],"domain_scores_gemma":[0.9982485,0.0003506181,0.000008467118,0.000799636,0.0001068048,0.0004859457],"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":[0.0004133001,0.000152073,0.0002550005,0.001297264,0.003312407,0.002667527,0.001223287,0.06101729,0.6575634,0.001101203,0.002029004,0.2689682],"study_design_scores_gemma":[0.003422422,0.0008970238,0.01832521,0.001202923,0.0007705668,0.0003086059,0.001068861,0.01116459,0.5974856,0.00239458,0.3608733,0.002086364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445857,0.04792906,0.005031629,0.0003824056,0.0002037232,0.001378886,0.00002368248,0.000273187,0.0001916926],"genre_scores_gemma":[0.997712,0.0008989231,0.0004432307,0.00006912099,0.0001978615,0.0003168581,0.000002271867,0.00007618635,0.0002835472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3588443,"threshold_uncertainty_score":0.7552588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0532941799277914,"score_gpt":0.2976578862294031,"score_spread":0.2443637063016117,"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."}}