{"id":"W4399389631","doi":"10.1161/jaha.123.034990","title":"Multiplex Imaging for Cell Phenotyping of Early Human Atherosclerosis","year":2024,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Providence Health Care; BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Fondation Leducq; Providence Health Care; BC Children's Hospital; Government of Canada; Heart and Stroke Foundation of Canada","keywords":"Multiplex; Extracellular matrix; Phenotype; Inflammation; Foam cell; Pathology; Cell; Cell type; CD68; Biology; Apoptosis; Fibrous cap; Cell biology; Immunology; In vitro; Medicine; Macrophage; Immunohistochemistry; Bioinformatics; Gene","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":[0.001096093,0.0006305315,0.0003826087,0.001479891,0.0002767866,0.0005828658,0.0003008709,0.0005890403,0.001952566],"category_scores_gemma":[0.0008108635,0.0003082308,0.0002331616,0.0005071568,0.0002062543,0.0003506368,0.0004326251,0.0006574797,0.0006581991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355095,"about_ca_system_score_gemma":0.0001953892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003401097,"about_ca_topic_score_gemma":0.0006054158,"domain_scores_codex":[0.9994987,0.0001207107,0.00002564194,0.0001474711,0.0001476597,0.00005980676],"domain_scores_gemma":[0.9994797,0.0001811485,0.0001088764,0.0000574381,0.0001131149,0.00005974554],"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":[0.000209015,0.00006619523,0.003425226,0.0001213599,0.000023386,0.00008704362,0.00007440636,0.000448371,0.9718943,0.0004781705,0.0005176676,0.02265484],"study_design_scores_gemma":[0.00002149606,0.000466801,0.01776442,0.00004398758,0.00008929459,0.001182284,0.00008317815,0.01810055,0.9528151,0.0007216929,0.008667436,0.00004377754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5060003,0.01301768,0.4676279,0.0004206645,0.0002233417,0.0004821662,0.002206916,0.002204061,0.007817027],"genre_scores_gemma":[0.650561,0.005027445,0.3375621,0.0003400624,0.0001175517,0.001000092,0.0009258022,0.00009760173,0.004368222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001952566,"threshold_uncertainty_score":0.006531954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257134327174601,"score_gpt":0.2562390339380446,"score_spread":0.2436676906662986,"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."}}