{"id":"W4403808876","doi":"10.1093/eurheartj/ehae666.3874","title":"Biomimetic porphyrin-lipid nanoparticles - novel nanoscale theranostics for multimodal imaging and therapy in atherosclerotic cardiovascular disease","year":2024,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Porphyrin; Nanoscopic scale; Atherosclerotic cardiovascular disease; Nanoparticle; Disease; Nanotechnology; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001112583,0.0001803828,0.0001634731,0.0001124133,0.00008188777,0.0001929418,0.0001138892,0.0003011554,0.000507461],"category_scores_gemma":[0.00007249065,0.0001113167,0.0001123256,0.00007486936,0.0001333419,0.0001447695,0.0001868501,0.0002259726,0.0001768621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637983,"about_ca_system_score_gemma":0.0001218233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675468,"about_ca_topic_score_gemma":0.0003318251,"domain_scores_codex":[0.999963,0.000006855549,0.000001667936,0.0000103537,0.000009517441,0.00000856237],"domain_scores_gemma":[0.9999771,0.000004419361,0.000006695697,0.000002397121,0.000003917496,0.00000547807],"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":[0.00005838504,0.00001972591,0.00006286152,0.00005704028,0.000004278567,0.0000633598,0.000008763341,0.0003713443,0.9935004,0.0002827235,0.0001180749,0.005452963],"study_design_scores_gemma":[0.00004207853,0.0002979687,0.001215188,0.00001159916,0.00002319469,0.0003833712,0.00001485178,0.007494435,0.983919,0.0002675267,0.00631983,0.00001096303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491842,0.01003084,0.03514872,0.0006227151,0.00009252811,0.0001082863,0.0001754998,0.0003432963,0.004293901],"genre_scores_gemma":[0.9806582,0.001960482,0.01354519,0.0001502937,0.00001962712,0.00006583731,0.00006798976,0.00002162927,0.003510736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000507461,"threshold_uncertainty_score":0.001913965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715312865075727,"score_gpt":0.2407654967009578,"score_spread":0.2136123680502006,"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."}}