{"id":"W2802083052","doi":"10.3390/ma11050754","title":"The Multifaceted Uses and Therapeutic Advantages of Nanoparticles for Atherosclerosis Research","year":2018,"lang":"en","type":"review","venue":"Materials","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Nanotechnology; Molecular imaging; Drug delivery; Nanoparticle; Computer science; Targeted drug delivery; Medicine; Materials science; Biology; Biotechnology; In vivo","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001791365,0.0002607201,0.001163775,0.00005682062,0.0004818407,0.00008444722,0.0003510044,0.000303712,0.0000905339],"category_scores_gemma":[0.000190846,0.0001447101,0.0003713386,0.00007916284,0.0009315901,0.00002441977,0.0001737659,0.00008617868,0.00008083168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002154948,"about_ca_system_score_gemma":0.00006710766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000205935,"about_ca_topic_score_gemma":0.000002399091,"domain_scores_codex":[0.9972787,0.001359614,0.0005297334,0.0003546183,0.00006603345,0.0004112558],"domain_scores_gemma":[0.9980218,0.001027517,0.0002452086,0.0005352293,0.0001506797,0.00001955145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009963256,0.00009729045,0.00001055103,0.005331503,0.001963783,1.252284e-7,0.0001712026,2.277529e-8,0.4053045,0.0005076323,0.0009171949,0.5855966],"study_design_scores_gemma":[0.0003753965,0.0001627575,0.0001446877,0.002230427,0.000719961,0.000004028846,0.0001163502,1.456996e-8,0.07727705,0.0001029517,0.9186966,0.000169757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0416022,0.9560781,0.000002496574,0.000009068878,0.0004640936,0.001222809,0.0005899657,0.00002525684,0.000006057394],"genre_scores_gemma":[0.01199495,0.9869345,0.00001531518,0.000006438067,0.00007038815,0.0005809217,0.00006130125,0.0000550921,0.0002811444],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9177794,"threshold_uncertainty_score":0.5901108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630085240891475,"score_gpt":0.4007518330145343,"score_spread":0.2377433089253869,"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."}}