{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007740408,0.0007276876,0.0008106754,0.002259667,0.0004379264,0.001191029,0.0005554018,0.001411677,0.001825495],"category_scores_gemma":[0.0006418916,0.0003049486,0.0006050288,0.00125554,0.0009213774,0.001668808,0.0008639753,0.002020444,0.0007523847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006235752,"about_ca_system_score_gemma":0.0009549824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005571489,"about_ca_topic_score_gemma":0.0008984482,"domain_scores_codex":[0.999629,0.00006968385,0.00004253502,0.00007205277,0.0001471568,0.00003953965],"domain_scores_gemma":[0.9996568,0.0002077095,0.00003154755,0.00001391596,0.00006516388,0.00002485012],"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":[0.00005848932,0.00008273858,0.0002912465,0.01965266,0.00007918935,0.0004928323,0.000287324,0.0005366507,0.01844884,0.02310904,0.01635563,0.9206053],"study_design_scores_gemma":[0.000006112549,0.0001058931,0.0008042852,0.002953225,0.00005708593,0.00277945,0.0001263332,0.0001156044,0.003810425,0.006747752,0.9824681,0.00002578833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003228481,0.9959859,0.0005791119,0.0006648304,0.0002603764,0.000005041558,0.0000107965,0.00001027262,0.002160805],"genre_scores_gemma":[0.00231181,0.9957519,0.0006344715,0.000261809,0.0002646055,0.000008759845,0.00001192166,0.000002439374,0.0007522915],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002259667,"threshold_uncertainty_score":0.006106853,"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."}}